diff --git a/docs/_posts/ahmedlone127/2024-09-02-koobert_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-02-koobert_pipeline_xx.md
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual koobert_pipeline pipeline BertEmbeddings from KooAI
+author: John Snow Labs
+name: koobert_pipeline
+date: 2024-09-02
+tags: [xx, open_source, pipeline, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`koobert_pipeline` is a Multilingual model originally trained by KooAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/koobert_pipeline_xx_5.5.0_3.0_1725318896545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/koobert_pipeline_xx_5.5.0_3.0_1725318896545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("koobert_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("koobert_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|koobert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|689.1 MB|
+
+## References
+
+https://huggingface.co/KooAI/KooBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-02-tweets_sentiment_model_60k_samples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-02-tweets_sentiment_model_60k_samples_pipeline_en.md
new file mode 100644
index 00000000000000..6c9f8910903406
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-02-tweets_sentiment_model_60k_samples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tweets_sentiment_model_60k_samples_pipeline pipeline DistilBertForSequenceClassification from ivanscorral
+author: John Snow Labs
+name: tweets_sentiment_model_60k_samples_pipeline
+date: 2024-09-02
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweets_sentiment_model_60k_samples_pipeline` is a English model originally trained by ivanscorral.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweets_sentiment_model_60k_samples_pipeline_en_5.5.0_3.0_1725305885755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweets_sentiment_model_60k_samples_pipeline_en_5.5.0_3.0_1725305885755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tweets_sentiment_model_60k_samples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tweets_sentiment_model_60k_samples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweets_sentiment_model_60k_samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ivanscorral/tweets-sentiment-model-60k-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-bert_full_finetuned_ner_pablo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-bert_full_finetuned_ner_pablo_pipeline_en.md
new file mode 100644
index 00000000000000..86a50fd1fa4b85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-bert_full_finetuned_ner_pablo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_full_finetuned_ner_pablo_pipeline pipeline BertForTokenClassification from pabRomero
+author: John Snow Labs
+name: bert_full_finetuned_ner_pablo_pipeline
+date: 2024-09-05
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_full_finetuned_ner_pablo_pipeline` is a English model originally trained by pabRomero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_full_finetuned_ner_pablo_pipeline_en_5.5.0_3.0_1725538599406.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_full_finetuned_ner_pablo_pipeline_en_5.5.0_3.0_1725538599406.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_full_finetuned_ner_pablo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_full_finetuned_ner_pablo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_full_finetuned_ner_pablo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/pabRomero/BERT-full-finetuned-ner-pablo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-secdisclosure_28l_en.md b/docs/_posts/ahmedlone127/2024-09-05-secdisclosure_28l_en.md
new file mode 100644
index 00000000000000..a7d6c181324936
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-secdisclosure_28l_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English secdisclosure_28l RoBertaForSequenceClassification from EGAPE
+author: John Snow Labs
+name: secdisclosure_28l
+date: 2024-09-05
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`secdisclosure_28l` is a English model originally trained by EGAPE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/secdisclosure_28l_en_5.5.0_3.0_1725541670119.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/secdisclosure_28l_en_5.5.0_3.0_1725541670119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|seq2seq_finetuned_cxg_dutch_tonga_tonga_islands_code|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.4 MB|
+
+## References
+
+https://huggingface.co/sheykina/seq2seq-finetuned-CXG-nl-to-code
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-address_extraction_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-06-address_extraction_pipeline_tr.md
new file mode 100644
index 00000000000000..7c2182d0e609ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-address_extraction_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish address_extraction_pipeline pipeline BertForTokenClassification from nextgeo
+author: John Snow Labs
+name: address_extraction_pipeline
+date: 2024-09-06
+tags: [tr, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`address_extraction_pipeline` is a Turkish model originally trained by nextgeo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/address_extraction_pipeline_tr_5.5.0_3.0_1725600596156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/address_extraction_pipeline_tr_5.5.0_3.0_1725600596156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("address_extraction_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("address_extraction_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|address_extraction_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/nextgeo/address-extraction
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_goemotion_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_goemotion_pipeline_en.md
new file mode 100644
index 00000000000000..0ca8537377e5f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_goemotion_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_goemotion_pipeline pipeline DistilBertForSequenceClassification from farzanmrz
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_goemotion_pipeline
+date: 2024-09-06
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_goemotion_pipeline` is a English model originally trained by farzanmrz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_goemotion_pipeline_en_5.5.0_3.0_1725608550976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_goemotion_pipeline_en_5.5.0_3.0_1725608550976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_goemotion_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_goemotion_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_goemotion_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/farzanmrz/distilbert-base-uncased-finetuned-goemotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_pipeline_en.md
new file mode 100644
index 00000000000000..16039a911fd661
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_pipeline pipeline DistilBertForQuestionAnswering from Ahmed97
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_pipeline
+date: 2024-09-06
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_pipeline` is a English model originally trained by Ahmed97.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_pipeline_en_5.5.0_3.0_1725652683747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_pipeline_en_5.5.0_3.0_1725652683747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Ahmed97/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_toorgil_en.md b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_toorgil_en.md
new file mode 100644
index 00000000000000..465dc404696ea0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_toorgil_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_toorgil DistilBertForQuestionAnswering from toorgil
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_toorgil
+date: 2024-09-06
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_toorgil` is a English model originally trained by toorgil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_toorgil_en_5.5.0_3.0_1725652093936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_toorgil_en_5.5.0_3.0_1725652093936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_toorgil|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/toorgil/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-dbbuc_10p_en.md b/docs/_posts/ahmedlone127/2024-09-07-dbbuc_10p_en.md
new file mode 100644
index 00000000000000..a9c72b8df69b4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-dbbuc_10p_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dbbuc_10p DistilBertForTokenClassification from gabizh
+author: John Snow Labs
+name: dbbuc_10p
+date: 2024-09-07
+tags: [en, open_source, onnx, token_classification, distilbert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dbbuc_10p` is a English model originally trained by gabizh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbbuc_10p_en_5.5.0_3.0_1725729977731.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbbuc_10p_en_5.5.0_3.0_1725729977731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbbuc_10p|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/gabizh/dbbuc_10p
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_edgar10pct_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_edgar10pct_pipeline_en.md
new file mode 100644
index 00000000000000..15a322be5cd085
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_edgar10pct_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_edgar10pct_pipeline pipeline DistilBertEmbeddings from jonathanbb
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_edgar10pct_pipeline
+date: 2024-09-07
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_edgar10pct_pipeline` is a English model originally trained by jonathanbb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_edgar10pct_pipeline_en_5.5.0_3.0_1725742598539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_edgar10pct_pipeline_en_5.5.0_3.0_1725742598539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_edgar10pct_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_edgar10pct_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_edgar10pct_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jonathanbb/distilbert-base-uncased-finetuned-edgar10pct
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_raulgdp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_raulgdp_pipeline_en.md
new file mode 100644
index 00000000000000..dff77a7c04fdc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_raulgdp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_raulgdp_pipeline pipeline DistilBertForTokenClassification from raulgdp
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_raulgdp_pipeline
+date: 2024-09-07
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_raulgdp_pipeline` is a English model originally trained by raulgdp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_raulgdp_pipeline_en_5.5.0_3.0_1725734419005.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_raulgdp_pipeline_en_5.5.0_3.0_1725734419005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_ner_raulgdp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_ner_raulgdp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_raulgdp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/raulgdp/distilbert-base-uncased-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_squad2_pruned_p30_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_squad2_pruned_p30_en.md
new file mode 100644
index 00000000000000..0b7c2ab8714f55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_squad2_pruned_p30_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_pruned_p30 DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_pruned_p30
+date: 2024-09-07
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_pruned_p30` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_pruned_p30_en_5.5.0_3.0_1725746157544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_pruned_p30_en_5.5.0_3.0_1725746157544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_pruned_p30|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|213.1 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-pruned-p30
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-esperberto_small_sayula_popoluca_pipeline_eo.md b/docs/_posts/ahmedlone127/2024-09-07-esperberto_small_sayula_popoluca_pipeline_eo.md
new file mode 100644
index 00000000000000..22ddf1f832a47b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-esperberto_small_sayula_popoluca_pipeline_eo.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Esperanto esperberto_small_sayula_popoluca_pipeline pipeline RoBertaForTokenClassification from Xenova
+author: John Snow Labs
+name: esperberto_small_sayula_popoluca_pipeline
+date: 2024-09-07
+tags: [eo, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: eo
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`esperberto_small_sayula_popoluca_pipeline` is a Esperanto model originally trained by Xenova.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esperberto_small_sayula_popoluca_pipeline_eo_5.5.0_3.0_1725668133672.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esperberto_small_sayula_popoluca_pipeline_eo_5.5.0_3.0_1725668133672.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("esperberto_small_sayula_popoluca_pipeline", lang = "eo")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("esperberto_small_sayula_popoluca_pipeline", lang = "eo")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esperberto_small_sayula_popoluca_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|eo|
+|Size:|311.4 MB|
+
+## References
+
+https://huggingface.co/Xenova/EsperBERTo-small-pos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-julibert_ca.md b/docs/_posts/ahmedlone127/2024-09-07-julibert_ca.md
new file mode 100644
index 00000000000000..778326bb102ce9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-julibert_ca.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Catalan, Valencian julibert RoBertaEmbeddings from softcatala
+author: John Snow Labs
+name: julibert
+date: 2024-09-07
+tags: [ca, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: ca
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`julibert` is a Catalan, Valencian model originally trained by softcatala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/julibert_ca_5.5.0_3.0_1725678531596.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/julibert_ca_5.5.0_3.0_1725678531596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|julibert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|ca|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/softcatala/julibert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-nlp_question_answering_hw_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-nlp_question_answering_hw_pipeline_en.md
new file mode 100644
index 00000000000000..71d8958cbab9d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-nlp_question_answering_hw_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English nlp_question_answering_hw_pipeline pipeline DistilBertForQuestionAnswering from iMahdiGhazavi
+author: John Snow Labs
+name: nlp_question_answering_hw_pipeline
+date: 2024-09-07
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_question_answering_hw_pipeline` is a English model originally trained by iMahdiGhazavi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_question_answering_hw_pipeline_en_5.5.0_3.0_1725722597736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_question_answering_hw_pipeline_en_5.5.0_3.0_1725722597736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp_question_answering_hw_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp_question_answering_hw_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_question_answering_hw_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/iMahdiGhazavi/nlp-question-answering-hw
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-span_50_en.md b/docs/_posts/ahmedlone127/2024-09-07-span_50_en.md
new file mode 100644
index 00000000000000..80811f58f1b527
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-span_50_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English span_50 DistilBertForQuestionAnswering from SachinSharma0325
+author: John Snow Labs
+name: span_50
+date: 2024-09-07
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`span_50` is a English model originally trained by SachinSharma0325.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/span_50_en_5.5.0_3.0_1725735676839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/span_50_en_5.5.0_3.0_1725735676839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|span_50|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/SachinSharma0325/span_50
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-token_classification_adilhayat173_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-token_classification_adilhayat173_pipeline_en.md
new file mode 100644
index 00000000000000..9ff40435cc378a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-token_classification_adilhayat173_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English token_classification_adilhayat173_pipeline pipeline BertForTokenClassification from AdilHayat173
+author: John Snow Labs
+name: token_classification_adilhayat173_pipeline
+date: 2024-09-07
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`token_classification_adilhayat173_pipeline` is a English model originally trained by AdilHayat173.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_classification_adilhayat173_pipeline_en_5.5.0_3.0_1725726625506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_classification_adilhayat173_pipeline_en_5.5.0_3.0_1725726625506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("token_classification_adilhayat173_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("token_classification_adilhayat173_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_classification_adilhayat173_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/AdilHayat173/token_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-trail_kss_camembert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-trail_kss_camembert_pipeline_en.md
new file mode 100644
index 00000000000000..c60c788a3fe96c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-trail_kss_camembert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trail_kss_camembert_pipeline pipeline CamemBertEmbeddings from hltlab
+author: John Snow Labs
+name: trail_kss_camembert_pipeline
+date: 2024-09-07
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trail_kss_camembert_pipeline` is a English model originally trained by hltlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trail_kss_camembert_pipeline_en_5.5.0_3.0_1725691732597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trail_kss_camembert_pipeline_en_5.5.0_3.0_1725691732597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trail_kss_camembert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trail_kss_camembert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trail_kss_camembert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/hltlab/trail_kss-camembert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-twitter_xlm_roberta_base_sentiment_finetunned_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-07-twitter_xlm_roberta_base_sentiment_finetunned_pipeline_xx.md
new file mode 100644
index 00000000000000..38c1507fd71c47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-twitter_xlm_roberta_base_sentiment_finetunned_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual twitter_xlm_roberta_base_sentiment_finetunned_pipeline pipeline XlmRoBertaForSequenceClassification from citizenlab
+author: John Snow Labs
+name: twitter_xlm_roberta_base_sentiment_finetunned_pipeline
+date: 2024-09-07
+tags: [xx, open_source, pipeline, onnx]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_xlm_roberta_base_sentiment_finetunned_pipeline` is a Multilingual model originally trained by citizenlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_base_sentiment_finetunned_pipeline_xx_5.5.0_3.0_1725712209001.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_base_sentiment_finetunned_pipeline_xx_5.5.0_3.0_1725712209001.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_xlm_roberta_base_sentiment_finetunned_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_xlm_roberta_base_sentiment_finetunned_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_xlm_roberta_base_sentiment_finetunned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/citizenlab/twitter-xlm-roberta-base-sentiment-finetunned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_all_wendao_123_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_all_wendao_123_pipeline_en.md
new file mode 100644
index 00000000000000..d85847c101b100
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_all_wendao_123_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_wendao_123_pipeline pipeline XlmRoBertaForTokenClassification from Wendao-123
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_wendao_123_pipeline
+date: 2024-09-07
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_wendao_123_pipeline` is a English model originally trained by Wendao-123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_wendao_123_pipeline_en_5.5.0_3.0_1725687258144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_wendao_123_pipeline_en_5.5.0_3.0_1725687258144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_wendao_123_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_wendao_123_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_wendao_123_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/Wendao-123/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bert_cancer_type_extraction2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-bert_cancer_type_extraction2_pipeline_en.md
new file mode 100644
index 00000000000000..ddc996b67a8f24
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bert_cancer_type_extraction2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_cancer_type_extraction2_pipeline pipeline DistilBertForTokenClassification from DrM
+author: John Snow Labs
+name: bert_cancer_type_extraction2_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_cancer_type_extraction2_pipeline` is a English model originally trained by DrM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_cancer_type_extraction2_pipeline_en_5.5.0_3.0_1725837215856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_cancer_type_extraction2_pipeline_en_5.5.0_3.0_1725837215856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_cancer_type_extraction2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_cancer_type_extraction2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_cancer_type_extraction2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/DrM/BERT_Cancer_type_extraction2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_dapt_tapt_scientific_papers_pubmed_finetuned_dagpap22_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_dapt_tapt_scientific_papers_pubmed_finetuned_dagpap22_pipeline_en.md
new file mode 100644
index 00000000000000..2e719a44dfb28c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_dapt_tapt_scientific_papers_pubmed_finetuned_dagpap22_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_large_dapt_tapt_scientific_papers_pubmed_finetuned_dagpap22_pipeline pipeline DeBertaForSequenceClassification from domenicrosati
+author: John Snow Labs
+name: deberta_v3_large_dapt_tapt_scientific_papers_pubmed_finetuned_dagpap22_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_dapt_tapt_scientific_papers_pubmed_finetuned_dagpap22_pipeline` is a English model originally trained by domenicrosati.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_dapt_tapt_scientific_papers_pubmed_finetuned_dagpap22_pipeline_en_5.5.0_3.0_1725804686222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_dapt_tapt_scientific_papers_pubmed_finetuned_dagpap22_pipeline_en_5.5.0_3.0_1725804686222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_large_dapt_tapt_scientific_papers_pubmed_finetuned_dagpap22_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_large_dapt_tapt_scientific_papers_pubmed_finetuned_dagpap22_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_dapt_tapt_scientific_papers_pubmed_finetuned_dagpap22_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/domenicrosati/deberta-v3-large-dapt-tapt-scientific-papers-pubmed-finetuned-DAGPap22
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-dummy_model_reto55_en.md b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_reto55_en.md
new file mode 100644
index 00000000000000..fbc11d9fc1dcec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_reto55_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_reto55 CamemBertEmbeddings from reto55
+author: John Snow Labs
+name: dummy_model_reto55
+date: 2024-09-08
+tags: [en, open_source, onnx, embeddings, camembert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CamemBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CamemBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_reto55` is a English model originally trained by reto55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_reto55_en_5.5.0_3.0_1725786607084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_reto55_en_5.5.0_3.0_1725786607084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finemodel_from_kde4_english_tonga_tonga_islands_chinese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|540.6 MB|
+
+## References
+
+https://huggingface.co/ArierMiao/finemodel-from-kde4-en-to-zh
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-frpile_gpl_test_pipeline_all_mpnet_base_v2_mistral_notrescaled_30000_en.md b/docs/_posts/ahmedlone127/2024-09-08-frpile_gpl_test_pipeline_all_mpnet_base_v2_mistral_notrescaled_30000_en.md
new file mode 100644
index 00000000000000..b95cfb74ada3ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-frpile_gpl_test_pipeline_all_mpnet_base_v2_mistral_notrescaled_30000_en.md
@@ -0,0 +1,66 @@
+---
+layout: model
+title: English frpile_gpl_test_pipeline_all_mpnet_base_v2_mistral_notrescaled_30000 pipeline MPNetEmbeddings from DragosGorduza
+author: John Snow Labs
+name: frpile_gpl_test_pipeline_all_mpnet_base_v2_mistral_notrescaled_30000
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`frpile_gpl_test_pipeline_all_mpnet_base_v2_mistral_notrescaled_30000` is a English model originally trained by DragosGorduza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frpile_gpl_test_pipeline_all_mpnet_base_v2_mistral_notrescaled_30000_en_5.5.0_3.0_1725769632275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frpile_gpl_test_pipeline_all_mpnet_base_v2_mistral_notrescaled_30000_en_5.5.0_3.0_1725769632275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("frpile_gpl_test_pipeline_all_mpnet_base_v2_mistral_notrescaled_30000", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("frpile_gpl_test_pipeline_all_mpnet_base_v2_mistral_notrescaled_30000", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frpile_gpl_test_pipeline_all_mpnet_base_v2_mistral_notrescaled_30000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/DragosGorduza/FRPile_GPL_test_pipeline_all-mpnet-base-v2-MISTRAL-notrescaled_30000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-roberta_qa_discord_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-roberta_qa_discord_pipeline_en.md
new file mode 100644
index 00000000000000..115f5a9ba051bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-roberta_qa_discord_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_qa_discord_pipeline pipeline RoBertaForQuestionAnswering from Salesforce
+author: John Snow Labs
+name: roberta_qa_discord_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_qa_discord_pipeline` is a English model originally trained by Salesforce.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_qa_discord_pipeline_en_5.5.0_3.0_1725834077990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_qa_discord_pipeline_en_5.5.0_3.0_1725834077990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_qa_discord_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_qa_discord_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_qa_discord_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.7 MB|
+
+## References
+
+https://huggingface.co/Salesforce/discord_qa
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-sent_translit_ppa_northern_sami_asian_xx.md b/docs/_posts/ahmedlone127/2024-09-08-sent_translit_ppa_northern_sami_asian_xx.md
new file mode 100644
index 00000000000000..ae3d9a67a07dc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-sent_translit_ppa_northern_sami_asian_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual sent_translit_ppa_northern_sami_asian XlmRoBertaSentenceEmbeddings from orxhelili
+author: John Snow Labs
+name: sent_translit_ppa_northern_sami_asian
+date: 2024-09-08
+tags: [xx, open_source, onnx, sentence_embeddings, xlm_roberta]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_translit_ppa_northern_sami_asian` is a Multilingual model originally trained by orxhelili.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_translit_ppa_northern_sami_asian_xx_5.5.0_3.0_1725759261669.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_translit_ppa_northern_sami_asian_xx_5.5.0_3.0_1725759261669.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_translit_ppa_northern_sami_asian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/orxhelili/translit_ppa_se_asian
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-seq2seq_finetuned_slang_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-seq2seq_finetuned_slang_english_pipeline_en.md
new file mode 100644
index 00000000000000..c06a30f9c40973
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-seq2seq_finetuned_slang_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English seq2seq_finetuned_slang_english_pipeline pipeline MarianTransformer from Lipas007
+author: John Snow Labs
+name: seq2seq_finetuned_slang_english_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`seq2seq_finetuned_slang_english_pipeline` is a English model originally trained by Lipas007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/seq2seq_finetuned_slang_english_pipeline_en_5.5.0_3.0_1725766690989.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/seq2seq_finetuned_slang_english_pipeline_en_5.5.0_3.0_1725766690989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("seq2seq_finetuned_slang_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("seq2seq_finetuned_slang_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|seq2seq_finetuned_slang_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|535.8 MB|
+
+## References
+
+https://huggingface.co/Lipas007/seq2seq-finetuned-slang-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_pipeline_en.md
new file mode 100644
index 00000000000000..bc9667b53774be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_pipeline_en_5.5.0_3.0_1725775017715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_pipeline_en_5.5.0_3.0_1725775017715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-80-2024-07-26_16-03-28
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-translateen_arabic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-translateen_arabic_pipeline_en.md
new file mode 100644
index 00000000000000..5c82fed1b2f738
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-translateen_arabic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English translateen_arabic_pipeline pipeline MarianTransformer from shahad-alh
+author: John Snow Labs
+name: translateen_arabic_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`translateen_arabic_pipeline` is a English model originally trained by shahad-alh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translateen_arabic_pipeline_en_5.5.0_3.0_1725832153746.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translateen_arabic_pipeline_en_5.5.0_3.0_1725832153746.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("translateen_arabic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("translateen_arabic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translateen_arabic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|528.6 MB|
+
+## References
+
+https://huggingface.co/shahad-alh/translateEN_AR
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-withinapps_ndd_ppma_test_content_en.md b/docs/_posts/ahmedlone127/2024-09-08-withinapps_ndd_ppma_test_content_en.md
new file mode 100644
index 00000000000000..2cd0b0d9f9fa20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-withinapps_ndd_ppma_test_content_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English withinapps_ndd_ppma_test_content DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_ppma_test_content
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_ppma_test_content` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_ppma_test_content_en_5.5.0_3.0_1725808828116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_ppma_test_content_en_5.5.0_3.0_1725808828116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_ppma_test_content|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-ppma_test-content
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlm_twitter_politics_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-xlm_twitter_politics_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..2bcb68da4e1c73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlm_twitter_politics_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_twitter_politics_sentiment_pipeline pipeline XlmRoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: xlm_twitter_politics_sentiment_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_twitter_politics_sentiment_pipeline` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_twitter_politics_sentiment_pipeline_en_5.5.0_3.0_1725779961678.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_twitter_politics_sentiment_pipeline_en_5.5.0_3.0_1725779961678.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_twitter_politics_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_twitter_politics_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_twitter_politics_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/cardiffnlp/xlm-twitter-politics-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-zh2en100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-zh2en100_pipeline_en.md
new file mode 100644
index 00000000000000..8339bae7e80c64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-zh2en100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English zh2en100_pipeline pipeline MarianTransformer from Carlosino
+author: John Snow Labs
+name: zh2en100_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`zh2en100_pipeline` is a English model originally trained by Carlosino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/zh2en100_pipeline_en_5.5.0_3.0_1725824279424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/zh2en100_pipeline_en_5.5.0_3.0_1725824279424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("zh2en100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("zh2en100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|zh2en100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|540.6 MB|
+
+## References
+
+https://huggingface.co/Carlosino/zh2en100
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-adaptationbert_en.md b/docs/_posts/ahmedlone127/2024-09-09-adaptationbert_en.md
new file mode 100644
index 00000000000000..462a0872a5147f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-adaptationbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English adaptationbert RoBertaForSequenceClassification from ClimateLouie
+author: John Snow Labs
+name: adaptationbert
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adaptationbert` is a English model originally trained by ClimateLouie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adaptationbert_en_5.5.0_3.0_1725911664835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adaptationbert_en_5.5.0_3.0_1725911664835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adaptationbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/ClimateLouie/AdaptationBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_bloomlonely_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_bloomlonely_pipeline_en.md
new file mode 100644
index 00000000000000..574eb6f6cbef05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_bloomlonely_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_bloomlonely_pipeline pipeline DistilBertForQuestionAnswering from BloomLonely
+author: John Snow Labs
+name: burmese_awesome_qa_model_bloomlonely_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_bloomlonely_pipeline` is a English model originally trained by BloomLonely.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_bloomlonely_pipeline_en_5.5.0_3.0_1725877349239.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_bloomlonely_pipeline_en_5.5.0_3.0_1725877349239.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_bloomlonely_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_bloomlonely_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_bloomlonely_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/BloomLonely/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_token_classification_v2_1_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_token_classification_v2_1_1_pipeline_en.md
new file mode 100644
index 00000000000000..ea1a44dbc1f741
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_token_classification_v2_1_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_token_classification_v2_1_1_pipeline pipeline XlmRoBertaForTokenClassification from lilyyellow
+author: John Snow Labs
+name: burmese_awesome_token_classification_v2_1_1_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_token_classification_v2_1_1_pipeline` is a English model originally trained by lilyyellow.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_token_classification_v2_1_1_pipeline_en_5.5.0_3.0_1725895111924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_token_classification_v2_1_1_pipeline_en_5.5.0_3.0_1725895111924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_token_classification_v2_1_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_token_classification_v2_1_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_token_classification_v2_1_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|830.8 MB|
+
+## References
+
+https://huggingface.co/lilyyellow/my_awesome_token_classification_v2.1.1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-cino_small_v2_tncc_document_tsheg_en.md b/docs/_posts/ahmedlone127/2024-09-09-cino_small_v2_tncc_document_tsheg_en.md
new file mode 100644
index 00000000000000..6fe29e596da2e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-cino_small_v2_tncc_document_tsheg_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cino_small_v2_tncc_document_tsheg XlmRoBertaForSequenceClassification from UTibetNLP
+author: John Snow Labs
+name: cino_small_v2_tncc_document_tsheg
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cino_small_v2_tncc_document_tsheg` is a English model originally trained by UTibetNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cino_small_v2_tncc_document_tsheg_en_5.5.0_3.0_1725906255877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cino_small_v2_tncc_document_tsheg_en_5.5.0_3.0_1725906255877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dataequity_opus_maltese_spanish_german|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|518.1 MB|
+
+## References
+
+https://huggingface.co/dataequity/dataequity-opus-mt-es-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dbtest_trainer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dbtest_trainer_pipeline_en.md
new file mode 100644
index 00000000000000..22c1d58029ec15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dbtest_trainer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dbtest_trainer_pipeline pipeline DistilBertForSequenceClassification from greatakela
+author: John Snow Labs
+name: dbtest_trainer_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dbtest_trainer_pipeline` is a English model originally trained by greatakela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbtest_trainer_pipeline_en_5.5.0_3.0_1725873382413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbtest_trainer_pipeline_en_5.5.0_3.0_1725873382413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dbtest_trainer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dbtest_trainer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbtest_trainer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/greatakela/dbtest-trainer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_japanese_cased_jaquad_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_japanese_cased_jaquad_en.md
new file mode 100644
index 00000000000000..dd62e31738daf3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_japanese_cased_jaquad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_japanese_cased_jaquad DistilBertForQuestionAnswering from cuongtk2002
+author: John Snow Labs
+name: distilbert_base_japanese_cased_jaquad
+date: 2024-09-09
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_japanese_cased_jaquad` is a English model originally trained by cuongtk2002.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_japanese_cased_jaquad_en_5.5.0_3.0_1725877315141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_japanese_cased_jaquad_en_5.5.0_3.0_1725877315141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_japanese_cased_jaquad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|255.1 MB|
+
+## References
+
+https://huggingface.co/cuongtk2002/distilbert-base-ja-cased-JaQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_ag_news_tingting0104_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_ag_news_tingting0104_en.md
new file mode 100644
index 00000000000000..08a37048cb01ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_ag_news_tingting0104_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ag_news_tingting0104 DistilBertForSequenceClassification from TingTing0104
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ag_news_tingting0104
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ag_news_tingting0104` is a English model originally trained by TingTing0104.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ag_news_tingting0104_en_5.5.0_3.0_1725873510426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ag_news_tingting0104_en_5.5.0_3.0_1725873510426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_vietnamese_case|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|243.7 MB|
+
+## References
+
+https://huggingface.co/pengold/distilbert-base-vietnamese-case
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_esg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_esg_pipeline_en.md
new file mode 100644
index 00000000000000..d1f55d9d80580e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_esg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_esg_pipeline pipeline DistilBertForSequenceClassification from descartes100
+author: John Snow Labs
+name: distilbert_esg_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_esg_pipeline` is a English model originally trained by descartes100.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_esg_pipeline_en_5.5.0_3.0_1725873082345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_esg_pipeline_en_5.5.0_3.0_1725873082345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_esg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_esg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_esg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/descartes100/distilBERT_ESG
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_finetuned_squadv2_hungmanh6401_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_finetuned_squadv2_hungmanh6401_pipeline_en.md
new file mode 100644
index 00000000000000..75e1a4afb2d16f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_finetuned_squadv2_hungmanh6401_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_finetuned_squadv2_hungmanh6401_pipeline pipeline DistilBertForQuestionAnswering from HungManh6401
+author: John Snow Labs
+name: distilbert_finetuned_squadv2_hungmanh6401_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_squadv2_hungmanh6401_pipeline` is a English model originally trained by HungManh6401.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_hungmanh6401_pipeline_en_5.5.0_3.0_1725892207041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_hungmanh6401_pipeline_en_5.5.0_3.0_1725892207041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_squadv2_hungmanh6401_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_squadv2_hungmanh6401_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_squadv2_hungmanh6401_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungManh6401/distilbert-finetuned-squadv2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilroberta_thunderbird_anomaly_baseline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_thunderbird_anomaly_baseline_en.md
new file mode 100644
index 00000000000000..98e4fe13f86d94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_thunderbird_anomaly_baseline_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_thunderbird_anomaly_baseline RoBertaForSequenceClassification from EgilKarlsen
+author: John Snow Labs
+name: distilroberta_thunderbird_anomaly_baseline
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_thunderbird_anomaly_baseline` is a English model originally trained by EgilKarlsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_thunderbird_anomaly_baseline_en_5.5.0_3.0_1725919877128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_thunderbird_anomaly_baseline_en_5.5.0_3.0_1725919877128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_thunderbird_anomaly_baseline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.5 MB|
+
+## References
+
+https://huggingface.co/EgilKarlsen/DistilRoBERTa_Thunderbird-Anomaly_Baseline
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-finetuning_amaskedlanguage_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-finetuning_amaskedlanguage_pipeline_en.md
new file mode 100644
index 00000000000000..3073848e8310ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-finetuning_amaskedlanguage_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_amaskedlanguage_pipeline pipeline DistilBertEmbeddings from DeveloperAya
+author: John Snow Labs
+name: finetuning_amaskedlanguage_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_amaskedlanguage_pipeline` is a English model originally trained by DeveloperAya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_amaskedlanguage_pipeline_en_5.5.0_3.0_1725921628627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_amaskedlanguage_pipeline_en_5.5.0_3.0_1725921628627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_amaskedlanguage_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_amaskedlanguage_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_amaskedlanguage_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/DeveloperAya/FineTuning_aMaskedLanguage
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-gottbert_base_uklfr_en.md b/docs/_posts/ahmedlone127/2024-09-09-gottbert_base_uklfr_en.md
new file mode 100644
index 00000000000000..e0f52e1c6da5c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-gottbert_base_uklfr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English gottbert_base_uklfr RoBertaEmbeddings from uklfr
+author: John Snow Labs
+name: gottbert_base_uklfr
+date: 2024-09-09
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gottbert_base_uklfr` is a English model originally trained by uklfr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gottbert_base_uklfr_en_5.5.0_3.0_1725883068199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gottbert_base_uklfr_en_5.5.0_3.0_1725883068199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gottbert_base_uklfr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|470.6 MB|
+
+## References
+
+https://huggingface.co/uklfr/gottbert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-marian_random_kde4_english_tonga_tonga_islands_french_zihoh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-marian_random_kde4_english_tonga_tonga_islands_french_zihoh_pipeline_en.md
new file mode 100644
index 00000000000000..42823c503ba065
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-marian_random_kde4_english_tonga_tonga_islands_french_zihoh_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_random_kde4_english_tonga_tonga_islands_french_zihoh_pipeline pipeline MarianTransformer from zihoh
+author: John Snow Labs
+name: marian_random_kde4_english_tonga_tonga_islands_french_zihoh_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_random_kde4_english_tonga_tonga_islands_french_zihoh_pipeline` is a English model originally trained by zihoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_random_kde4_english_tonga_tonga_islands_french_zihoh_pipeline_en_5.5.0_3.0_1725891876719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_random_kde4_english_tonga_tonga_islands_french_zihoh_pipeline_en_5.5.0_3.0_1725891876719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_random_kde4_english_tonga_tonga_islands_french_zihoh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_random_kde4_english_tonga_tonga_islands_french_zihoh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_random_kde4_english_tonga_tonga_islands_french_zihoh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|510.3 MB|
+
+## References
+
+https://huggingface.co/zihoh/marian-random-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-multi_qa_mpnet_base_cos_v1_rust_en.md b/docs/_posts/ahmedlone127/2024-09-09-multi_qa_mpnet_base_cos_v1_rust_en.md
new file mode 100644
index 00000000000000..ca6ba2dcb3a939
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-multi_qa_mpnet_base_cos_v1_rust_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English multi_qa_mpnet_base_cos_v1_rust MPNetEmbeddings from cicero-ai
+author: John Snow Labs
+name: multi_qa_mpnet_base_cos_v1_rust
+date: 2024-09-09
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multi_qa_mpnet_base_cos_v1_rust` is a English model originally trained by cicero-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multi_qa_mpnet_base_cos_v1_rust_en_5.5.0_3.0_1725874090227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multi_qa_mpnet_base_cos_v1_rust_en_5.5.0_3.0_1725874090227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multi_qa_mpnet_base_cos_v1_rust|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/cicero-ai/multi-qa-mpnet-base-cos-v1-rust
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-n_roberta_agnews_padding100model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-n_roberta_agnews_padding100model_pipeline_en.md
new file mode 100644
index 00000000000000..af254cc9171719
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-n_roberta_agnews_padding100model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_roberta_agnews_padding100model_pipeline pipeline RoBertaForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_roberta_agnews_padding100model_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_roberta_agnews_padding100model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_roberta_agnews_padding100model_pipeline_en_5.5.0_3.0_1725920879323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_roberta_agnews_padding100model_pipeline_en_5.5.0_3.0_1725920879323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_roberta_agnews_padding100model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_roberta_agnews_padding100model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_roberta_agnews_padding100model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_roberta_agnews_padding100model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-nli_mpnet_base_v2_mbti_full_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-nli_mpnet_base_v2_mbti_full_pipeline_en.md
new file mode 100644
index 00000000000000..810871fdb9a60d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-nli_mpnet_base_v2_mbti_full_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nli_mpnet_base_v2_mbti_full_pipeline pipeline MPNetForSequenceClassification from ClaudiaRichard
+author: John Snow Labs
+name: nli_mpnet_base_v2_mbti_full_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nli_mpnet_base_v2_mbti_full_pipeline` is a English model originally trained by ClaudiaRichard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nli_mpnet_base_v2_mbti_full_pipeline_en_5.5.0_3.0_1725850692160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nli_mpnet_base_v2_mbti_full_pipeline_en_5.5.0_3.0_1725850692160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nli_mpnet_base_v2_mbti_full_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nli_mpnet_base_v2_mbti_full_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nli_mpnet_base_v2_mbti_full_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ClaudiaRichard/nli-mpnet-base-v2_mbti_full
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- MPNetForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-nuzhny_english_tonga_tonga_islands_ru2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-nuzhny_english_tonga_tonga_islands_ru2_pipeline_en.md
new file mode 100644
index 00000000000000..53e8ab1ff05d5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-nuzhny_english_tonga_tonga_islands_ru2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nuzhny_english_tonga_tonga_islands_ru2_pipeline pipeline MarianTransformer from nuzhny
+author: John Snow Labs
+name: nuzhny_english_tonga_tonga_islands_ru2_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nuzhny_english_tonga_tonga_islands_ru2_pipeline` is a English model originally trained by nuzhny.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nuzhny_english_tonga_tonga_islands_ru2_pipeline_en_5.5.0_3.0_1725863729604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nuzhny_english_tonga_tonga_islands_ru2_pipeline_en_5.5.0_3.0_1725863729604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nuzhny_english_tonga_tonga_islands_ru2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nuzhny_english_tonga_tonga_islands_ru2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nuzhny_english_tonga_tonga_islands_ru2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|526.0 MB|
+
+## References
+
+https://huggingface.co/nuzhny/nuzhny-en-to-ru2
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_base_lsp_fine_wce_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_base_lsp_fine_wce_pipeline_en.md
new file mode 100644
index 00000000000000..1301bccb88769b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_base_lsp_fine_wce_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_base_lsp_fine_wce_pipeline pipeline MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_base_lsp_fine_wce_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_base_lsp_fine_wce_pipeline` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_base_lsp_fine_wce_pipeline_en_5.5.0_3.0_1725865566667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_base_lsp_fine_wce_pipeline_en_5.5.0_3.0_1725865566667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_base_lsp_fine_wce_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_base_lsp_fine_wce_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_base_lsp_fine_wce_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.0 MB|
+
+## References
+
+https://huggingface.co/ethansimrm/opus_base_lsp_fine_wce
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_big_lsp_fine_wce_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_big_lsp_fine_wce_pipeline_en.md
new file mode 100644
index 00000000000000..07a543f197ffb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_big_lsp_fine_wce_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_big_lsp_fine_wce_pipeline pipeline MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_big_lsp_fine_wce_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_big_lsp_fine_wce_pipeline` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_big_lsp_fine_wce_pipeline_en_5.5.0_3.0_1725914632299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_big_lsp_fine_wce_pipeline_en_5.5.0_3.0_1725914632299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_big_lsp_fine_wce_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_big_lsp_fine_wce_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_big_lsp_fine_wce_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ethansimrm/opus_big_lsp_fine_wce
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_micmer17_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_micmer17_en.md
new file mode 100644
index 00000000000000..16bca03abf2b25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_micmer17_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_micmer17 MarianTransformer from MicMer17
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_micmer17
+date: 2024-09-09
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_micmer17` is a English model originally trained by MicMer17.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_micmer17_en_5.5.0_3.0_1725891955221.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_micmer17_en_5.5.0_3.0_1725891955221.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_micmer17|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/MicMer17/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-remote_sensing_distilbert_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-remote_sensing_distilbert_cased_pipeline_en.md
new file mode 100644
index 00000000000000..bc525dd98e9c39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-remote_sensing_distilbert_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English remote_sensing_distilbert_cased_pipeline pipeline DistilBertEmbeddings from marcellopoliti
+author: John Snow Labs
+name: remote_sensing_distilbert_cased_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`remote_sensing_distilbert_cased_pipeline` is a English model originally trained by marcellopoliti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/remote_sensing_distilbert_cased_pipeline_en_5.5.0_3.0_1725909561418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/remote_sensing_distilbert_cased_pipeline_en_5.5.0_3.0_1725909561418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("remote_sensing_distilbert_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("remote_sensing_distilbert_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|remote_sensing_distilbert_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.7 MB|
+
+## References
+
+https://huggingface.co/marcellopoliti/remote-sensing-distilbert-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_hcy5561_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_hcy5561_pipeline_en.md
new file mode 100644
index 00000000000000..0b9308747c3430
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_hcy5561_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_hcy5561_pipeline pipeline XlmRoBertaForTokenClassification from hcy5561
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_hcy5561_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_hcy5561_pipeline` is a English model originally trained by hcy5561.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_hcy5561_pipeline_en_5.5.0_3.0_1725923509095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_hcy5561_pipeline_en_5.5.0_3.0_1725923509095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_hcy5561_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_hcy5561_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_hcy5561_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/hcy5561/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_english_akira10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_english_akira10_pipeline_en.md
new file mode 100644
index 00000000000000..0d33f79390e2f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_english_akira10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_akira10_pipeline pipeline XlmRoBertaForTokenClassification from Akira10
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_akira10_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_akira10_pipeline` is a English model originally trained by Akira10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_akira10_pipeline_en_5.5.0_3.0_1725918092393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_akira10_pipeline_en_5.5.0_3.0_1725918092393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_akira10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_akira10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_akira10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/Akira10/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_pipeline_en.md
new file mode 100644
index 00000000000000..1bf4dd5491f0c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_pipeline pipeline XlmRoBertaForTokenClassification from HalteroXHunter
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_pipeline` is a English model originally trained by HalteroXHunter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_pipeline_en_5.5.0_3.0_1725918999381.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_pipeline_en_5.5.0_3.0_1725918999381.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/HalteroXHunter/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-07_distilbert_qa_pytorch_full_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-07_distilbert_qa_pytorch_full_pipeline_en.md
new file mode 100644
index 00000000000000..675525e20b1a01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-07_distilbert_qa_pytorch_full_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English 07_distilbert_qa_pytorch_full_pipeline pipeline DistilBertForQuestionAnswering from tyavika
+author: John Snow Labs
+name: 07_distilbert_qa_pytorch_full_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`07_distilbert_qa_pytorch_full_pipeline` is a English model originally trained by tyavika.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/07_distilbert_qa_pytorch_full_pipeline_en_5.5.0_3.0_1725960092291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/07_distilbert_qa_pytorch_full_pipeline_en_5.5.0_3.0_1725960092291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("07_distilbert_qa_pytorch_full_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("07_distilbert_qa_pytorch_full_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|07_distilbert_qa_pytorch_full_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/tyavika/07-Distilbert-QA-Pytorch-FULL
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-579_stmodel_v4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-579_stmodel_v4_pipeline_en.md
new file mode 100644
index 00000000000000..1b17a86092edb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-579_stmodel_v4_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English 579_stmodel_v4_pipeline pipeline MPNetEmbeddings from jamiehudson
+author: John Snow Labs
+name: 579_stmodel_v4_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`579_stmodel_v4_pipeline` is a English model originally trained by jamiehudson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/579_stmodel_v4_pipeline_en_5.5.0_3.0_1725995271945.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/579_stmodel_v4_pipeline_en_5.5.0_3.0_1725995271945.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("579_stmodel_v4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("579_stmodel_v4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|579_stmodel_v4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/jamiehudson/579-STmodel-v4
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-all_bs160_allneg_en.md b/docs/_posts/ahmedlone127/2024-09-10-all_bs160_allneg_en.md
new file mode 100644
index 00000000000000..b11de4be80c012
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-all_bs160_allneg_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_bs160_allneg MPNetEmbeddings from teven
+author: John Snow Labs
+name: all_bs160_allneg
+date: 2024-09-10
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_bs160_allneg` is a English model originally trained by teven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_bs160_allneg_en_5.5.0_3.0_1725936308006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_bs160_allneg_en_5.5.0_3.0_1725936308006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beritmodel2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|457.7 MB|
+
+## References
+
+https://huggingface.co/gngpostalsrvc/BERiTmodel2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-beritmodel2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-beritmodel2_pipeline_en.md
new file mode 100644
index 00000000000000..0e842e069c6d4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-beritmodel2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English beritmodel2_pipeline pipeline RoBertaEmbeddings from gngpostalsrvc
+author: John Snow Labs
+name: beritmodel2_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beritmodel2_pipeline` is a English model originally trained by gngpostalsrvc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beritmodel2_pipeline_en_5.5.0_3.0_1725937703306.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beritmodel2_pipeline_en_5.5.0_3.0_1725937703306.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("beritmodel2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("beritmodel2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beritmodel2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|457.8 MB|
+
+## References
+
+https://huggingface.co/gngpostalsrvc/BERiTmodel2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_ms1311_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_ms1311_pipeline_en.md
new file mode 100644
index 00000000000000..f4b1c501bf3d08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_ms1311_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_ms1311_pipeline pipeline DistilBertForQuestionAnswering from ms1311
+author: John Snow Labs
+name: burmese_awesome_qa_model_ms1311_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_ms1311_pipeline` is a English model originally trained by ms1311.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ms1311_pipeline_en_5.5.0_3.0_1725932360899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ms1311_pipeline_en_5.5.0_3.0_1725932360899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_ms1311_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_ms1311_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_ms1311_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ms1311/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-dataequity_opus_maltese_arabic_english_en.md b/docs/_posts/ahmedlone127/2024-09-10-dataequity_opus_maltese_arabic_english_en.md
new file mode 100644
index 00000000000000..c38a4f25e2bb06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-dataequity_opus_maltese_arabic_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dataequity_opus_maltese_arabic_english MarianTransformer from dataequity
+author: John Snow Labs
+name: dataequity_opus_maltese_arabic_english
+date: 2024-09-10
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dataequity_opus_maltese_arabic_english` is a English model originally trained by dataequity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dataequity_opus_maltese_arabic_english_en_5.5.0_3.0_1726002048193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dataequity_opus_maltese_arabic_english_en_5.5.0_3.0_1726002048193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dataequity_opus_maltese_arabic_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|528.0 MB|
+
+## References
+
+https://huggingface.co/dataequity/dataequity-opus-mt-ar-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_mmsg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_mmsg_pipeline_en.md
new file mode 100644
index 00000000000000..85ccb715e3dbe1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_mmsg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_mmsg_pipeline pipeline DistilBertEmbeddings from fussellster
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_mmsg_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mmsg_pipeline` is a English model originally trained by fussellster.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mmsg_pipeline_en_5.5.0_3.0_1725994274779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mmsg_pipeline_en_5.5.0_3.0_1725994274779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_mmsg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_mmsg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_mmsg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/fussellster/distilbert-base-uncased-finetuned-mmsg
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_d5716d28_halaluka_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_d5716d28_halaluka_pipeline_en.md
new file mode 100644
index 00000000000000..d0b448afbce6b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_d5716d28_halaluka_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_halaluka_pipeline pipeline DistilBertForQuestionAnswering from Halaluka
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_halaluka_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_halaluka_pipeline` is a English model originally trained by Halaluka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_halaluka_pipeline_en_5.5.0_3.0_1725980228589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_halaluka_pipeline_en_5.5.0_3.0_1725980228589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_halaluka_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_halaluka_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_halaluka_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Halaluka/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_on_yelp_reviews_full_epoch_2_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_on_yelp_reviews_full_epoch_2_en.md
new file mode 100644
index 00000000000000..e98679a976a8bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_on_yelp_reviews_full_epoch_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_on_yelp_reviews_full_epoch_2 DistilBertForSequenceClassification from BexRedpill
+author: John Snow Labs
+name: distilbert_on_yelp_reviews_full_epoch_2
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_on_yelp_reviews_full_epoch_2` is a English model originally trained by BexRedpill.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_on_yelp_reviews_full_epoch_2_en_5.5.0_3.0_1726009487078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_on_yelp_reviews_full_epoch_2_en_5.5.0_3.0_1726009487078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_on_yelp_reviews_full_epoch_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BexRedpill/distilbert-on-yelp-reviews-full-epoch-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_en.md
new file mode 100644
index 00000000000000..0f5a14920fd882
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_en_5.5.0_3.0_1725984044286.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_en_5.5.0_3.0_1725984044286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.9 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_data_aug_mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_word2vec_256k_mlm_500k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_word2vec_256k_mlm_500k_pipeline_en.md
new file mode 100644
index 00000000000000..c2359ed66de6f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_word2vec_256k_mlm_500k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_word2vec_256k_mlm_500k_pipeline pipeline DistilBertEmbeddings from vocab-transformers
+author: John Snow Labs
+name: distilbert_word2vec_256k_mlm_500k_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_word2vec_256k_mlm_500k_pipeline` is a English model originally trained by vocab-transformers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_word2vec_256k_mlm_500k_pipeline_en_5.5.0_3.0_1725946499610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_word2vec_256k_mlm_500k_pipeline_en_5.5.0_3.0_1725946499610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_word2vec_256k_mlm_500k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_word2vec_256k_mlm_500k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_word2vec_256k_mlm_500k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|902.0 MB|
+
+## References
+
+https://huggingface.co/vocab-transformers/distilbert-word2vec_256k-MLM_500k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-facets_ep3_42_en.md b/docs/_posts/ahmedlone127/2024-09-10-facets_ep3_42_en.md
new file mode 100644
index 00000000000000..7be183b37ffc72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-facets_ep3_42_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English facets_ep3_42 MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: facets_ep3_42
+date: 2024-09-10
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`facets_ep3_42` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/facets_ep3_42_en_5.5.0_3.0_1725997006638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/facets_ep3_42_en_5.5.0_3.0_1725997006638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|facets_ep3_42|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ingeol/facets_ep3_42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-fine_tuned_mpnetv2_en.md b/docs/_posts/ahmedlone127/2024-09-10-fine_tuned_mpnetv2_en.md
new file mode 100644
index 00000000000000..fdb397379f9ce0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-fine_tuned_mpnetv2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English fine_tuned_mpnetv2 MPNetEmbeddings from fawazatvetted
+author: John Snow Labs
+name: fine_tuned_mpnetv2
+date: 2024-09-10
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_mpnetv2` is a English model originally trained by fawazatvetted.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_mpnetv2_en_5.5.0_3.0_1725995398967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_mpnetv2_en_5.5.0_3.0_1725995398967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gal_enpt_xlm_r|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|gl|
+|Size:|874.1 MB|
+
+## References
+
+https://huggingface.co/mbruton/gal_enpt_XLM-R
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-german_sentiment_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-10-german_sentiment_pipeline_de.md
new file mode 100644
index 00000000000000..9a0dba1fdacdaf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-german_sentiment_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German german_sentiment_pipeline pipeline BertForSequenceClassification from aari1995
+author: John Snow Labs
+name: german_sentiment_pipeline
+date: 2024-09-10
+tags: [de, open_source, pipeline, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`german_sentiment_pipeline` is a German model originally trained by aari1995.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_sentiment_pipeline_de_5.5.0_3.0_1725999786177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_sentiment_pipeline_de_5.5.0_3.0_1725999786177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("german_sentiment_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("german_sentiment_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/aari1995/German_Sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-histbert_finetuned_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-histbert_finetuned_ner_pipeline_en.md
new file mode 100644
index 00000000000000..d778b84d2c11ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-histbert_finetuned_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English histbert_finetuned_ner_pipeline pipeline BertForTokenClassification from crina-t
+author: John Snow Labs
+name: histbert_finetuned_ner_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`histbert_finetuned_ner_pipeline` is a English model originally trained by crina-t.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/histbert_finetuned_ner_pipeline_en_5.5.0_3.0_1725955693925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/histbert_finetuned_ner_pipeline_en_5.5.0_3.0_1725955693925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("histbert_finetuned_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("histbert_finetuned_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|histbert_finetuned_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|504.9 MB|
+
+## References
+
+https://huggingface.co/crina-t/histbert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-instruction_detection_uk.md b/docs/_posts/ahmedlone127/2024-09-10-instruction_detection_uk.md
new file mode 100644
index 00000000000000..5f27d94e6fc249
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-instruction_detection_uk.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Ukrainian instruction_detection XlmRoBertaForTokenClassification from zeusfsx
+author: John Snow Labs
+name: instruction_detection
+date: 2024-09-10
+tags: [uk, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: uk
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`instruction_detection` is a Ukrainian model originally trained by zeusfsx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/instruction_detection_uk_5.5.0_3.0_1726011510888.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/instruction_detection_uk_5.5.0_3.0_1726011510888.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|instruction_detection|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|uk|
+|Size:|390.6 MB|
+
+## References
+
+https://huggingface.co/zeusfsx/instruction-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-lab1_random_muyuanma_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-lab1_random_muyuanma_pipeline_en.md
new file mode 100644
index 00000000000000..ac435c531a210f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-lab1_random_muyuanma_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lab1_random_muyuanma_pipeline pipeline MarianTransformer from muyuanma
+author: John Snow Labs
+name: lab1_random_muyuanma_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab1_random_muyuanma_pipeline` is a English model originally trained by muyuanma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_random_muyuanma_pipeline_en_5.5.0_3.0_1726001566832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_random_muyuanma_pipeline_en_5.5.0_3.0_1726001566832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab1_random_muyuanma_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab1_random_muyuanma_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_random_muyuanma_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/muyuanma/lab1_random
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-mateus_whisper_small_portuguese_breton_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-mateus_whisper_small_portuguese_breton_pipeline_en.md
new file mode 100644
index 00000000000000..e997c911e75bd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-mateus_whisper_small_portuguese_breton_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mateus_whisper_small_portuguese_breton_pipeline pipeline WhisperForCTC from lMateusl
+author: John Snow Labs
+name: mateus_whisper_small_portuguese_breton_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mateus_whisper_small_portuguese_breton_pipeline` is a English model originally trained by lMateusl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mateus_whisper_small_portuguese_breton_pipeline_en_5.5.0_3.0_1725952757058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mateus_whisper_small_portuguese_breton_pipeline_en_5.5.0_3.0_1725952757058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mateus_whisper_small_portuguese_breton_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mateus_whisper_small_portuguese_breton_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mateus_whisper_small_portuguese_breton_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.8 MB|
+
+## References
+
+https://huggingface.co/lMateusl/Mateus-whisper-small-pt-br
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-multi_qa_mpnet_base_cos_v1_finetuned_dtc_zoomcamp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-multi_qa_mpnet_base_cos_v1_finetuned_dtc_zoomcamp_pipeline_en.md
new file mode 100644
index 00000000000000..a78acda83534ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-multi_qa_mpnet_base_cos_v1_finetuned_dtc_zoomcamp_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English multi_qa_mpnet_base_cos_v1_finetuned_dtc_zoomcamp_pipeline pipeline MPNetEmbeddings from celik-muhammed
+author: John Snow Labs
+name: multi_qa_mpnet_base_cos_v1_finetuned_dtc_zoomcamp_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multi_qa_mpnet_base_cos_v1_finetuned_dtc_zoomcamp_pipeline` is a English model originally trained by celik-muhammed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multi_qa_mpnet_base_cos_v1_finetuned_dtc_zoomcamp_pipeline_en_5.5.0_3.0_1725964006945.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multi_qa_mpnet_base_cos_v1_finetuned_dtc_zoomcamp_pipeline_en_5.5.0_3.0_1725964006945.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multi_qa_mpnet_base_cos_v1_finetuned_dtc_zoomcamp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multi_qa_mpnet_base_cos_v1_finetuned_dtc_zoomcamp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multi_qa_mpnet_base_cos_v1_finetuned_dtc_zoomcamp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/celik-muhammed/multi-qa-mpnet-base-cos-v1-finetuned-dtc-zoomcamp
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-multilingual_e5_base_finetuned_cola_xx.md b/docs/_posts/ahmedlone127/2024-09-10-multilingual_e5_base_finetuned_cola_xx.md
new file mode 100644
index 00000000000000..f3cc818ac1483d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-multilingual_e5_base_finetuned_cola_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual multilingual_e5_base_finetuned_cola XlmRoBertaForSequenceClassification from anhnv125
+author: John Snow Labs
+name: multilingual_e5_base_finetuned_cola
+date: 2024-09-10
+tags: [xx, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multilingual_e5_base_finetuned_cola` is a Multilingual model originally trained by anhnv125.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multilingual_e5_base_finetuned_cola_xx_5.5.0_3.0_1726004126784.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multilingual_e5_base_finetuned_cola_xx_5.5.0_3.0_1726004126784.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multilingual_e5_base_finetuned_cola|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|831.1 MB|
+
+## References
+
+https://huggingface.co/anhnv125/multilingual-e5-base-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-mwe_xlm_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-10-mwe_xlm_roberta_base_en.md
new file mode 100644
index 00000000000000..2cf158118efd86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-mwe_xlm_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mwe_xlm_roberta_base XlmRoBertaForTokenClassification from Damith
+author: John Snow Labs
+name: mwe_xlm_roberta_base
+date: 2024-09-10
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mwe_xlm_roberta_base` is a English model originally trained by Damith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mwe_xlm_roberta_base_en_5.5.0_3.0_1726011315123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mwe_xlm_roberta_base_en_5.5.0_3.0_1726011315123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mwe_xlm_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|783.1 MB|
+
+## References
+
+https://huggingface.co/Damith/mwe-xlm-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_zannabethl_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_zannabethl_pipeline_en.md
new file mode 100644
index 00000000000000..b106616fa6d9c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_zannabethl_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_zannabethl_pipeline pipeline MarianTransformer from zannabethl
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_zannabethl_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_zannabethl_pipeline` is a English model originally trained by zannabethl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_zannabethl_pipeline_en_5.5.0_3.0_1726001444449.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_zannabethl_pipeline_en_5.5.0_3.0_1726001444449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_zannabethl_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_zannabethl_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_zannabethl_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.2 MB|
+
+## References
+
+https://huggingface.co/zannabethl/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-refpydst_100p_referredstates_referred_states_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-refpydst_100p_referredstates_referred_states_pipeline_en.md
new file mode 100644
index 00000000000000..801cc6df8eeb4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-refpydst_100p_referredstates_referred_states_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English refpydst_100p_referredstates_referred_states_pipeline pipeline MPNetEmbeddings from Brendan
+author: John Snow Labs
+name: refpydst_100p_referredstates_referred_states_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`refpydst_100p_referredstates_referred_states_pipeline` is a English model originally trained by Brendan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/refpydst_100p_referredstates_referred_states_pipeline_en_5.5.0_3.0_1725963752897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/refpydst_100p_referredstates_referred_states_pipeline_en_5.5.0_3.0_1725963752897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("refpydst_100p_referredstates_referred_states_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("refpydst_100p_referredstates_referred_states_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|refpydst_100p_referredstates_referred_states_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Brendan/refpydst-100p-referredstates-referred-states
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-refpydst_5p_referredstates_split_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-refpydst_5p_referredstates_split_v3_pipeline_en.md
new file mode 100644
index 00000000000000..012a2fab73241f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-refpydst_5p_referredstates_split_v3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English refpydst_5p_referredstates_split_v3_pipeline pipeline MPNetEmbeddings from Brendan
+author: John Snow Labs
+name: refpydst_5p_referredstates_split_v3_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`refpydst_5p_referredstates_split_v3_pipeline` is a English model originally trained by Brendan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/refpydst_5p_referredstates_split_v3_pipeline_en_5.5.0_3.0_1725978426573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/refpydst_5p_referredstates_split_v3_pipeline_en_5.5.0_3.0_1725978426573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("refpydst_5p_referredstates_split_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("refpydst_5p_referredstates_split_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|refpydst_5p_referredstates_split_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/Brendan/refpydst-5p-referredstates-split-v3
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-retrieval_mpnet_dot_finetuned_combined_synthetic_dataset_en.md b/docs/_posts/ahmedlone127/2024-09-10-retrieval_mpnet_dot_finetuned_combined_synthetic_dataset_en.md
new file mode 100644
index 00000000000000..5b14753d15120d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-retrieval_mpnet_dot_finetuned_combined_synthetic_dataset_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English retrieval_mpnet_dot_finetuned_combined_synthetic_dataset MPNetEmbeddings from antonkirk
+author: John Snow Labs
+name: retrieval_mpnet_dot_finetuned_combined_synthetic_dataset
+date: 2024-09-10
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`retrieval_mpnet_dot_finetuned_combined_synthetic_dataset` is a English model originally trained by antonkirk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/retrieval_mpnet_dot_finetuned_combined_synthetic_dataset_en_5.5.0_3.0_1725978803854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/retrieval_mpnet_dot_finetuned_combined_synthetic_dataset_en_5.5.0_3.0_1725978803854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|retrieval_mpnet_dot_finetuned_combined_synthetic_dataset|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/antonkirk/retrieval-mpnet-dot-finetuned-combined-synthetic-dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_base_first_4_chars_acl2023_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_first_4_chars_acl2023_en.md
new file mode 100644
index 00000000000000..15f1c33f3207b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_first_4_chars_acl2023_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_first_4_chars_acl2023 RoBertaEmbeddings from hitachi-nlp
+author: John Snow Labs
+name: roberta_base_first_4_chars_acl2023
+date: 2024-09-10
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_first_4_chars_acl2023` is a English model originally trained by hitachi-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_first_4_chars_acl2023_en_5.5.0_3.0_1725931298113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_first_4_chars_acl2023_en_5.5.0_3.0_1725931298113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_first_4_chars_acl2023|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.3 MB|
+
+## References
+
+https://huggingface.co/hitachi-nlp/roberta-base_first-4-chars_acl2023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_qa_policy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_qa_policy_pipeline_en.md
new file mode 100644
index 00000000000000..00ede26dd292f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_qa_policy_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_qa_policy_pipeline pipeline RoBertaForQuestionAnswering from ppsingh
+author: John Snow Labs
+name: roberta_finetuned_qa_policy_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_qa_policy_pipeline` is a English model originally trained by ppsingh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_qa_policy_pipeline_en_5.5.0_3.0_1725987238578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_qa_policy_pipeline_en_5.5.0_3.0_1725987238578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_qa_policy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_qa_policy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_qa_policy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.9 MB|
+
+## References
+
+https://huggingface.co/ppsingh/roberta-finetuned-qa-policy
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-sentiment_sentiment_small_random1_seed2_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-sentiment_sentiment_small_random1_seed2_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..754500982f4873
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-sentiment_sentiment_small_random1_seed2_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random1_seed2_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random1_seed2_bernice_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random1_seed2_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random1_seed2_bernice_pipeline_en_5.5.0_3.0_1725982008048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random1_seed2_bernice_pipeline_en_5.5.0_3.0_1725982008048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_sentiment_small_random1_seed2_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_sentiment_small_random1_seed2_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_random1_seed2_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|790.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_random1_seed2-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-setfit_model_feb11_misinformation_on_mandates_public_health_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-setfit_model_feb11_misinformation_on_mandates_public_health_pipeline_en.md
new file mode 100644
index 00000000000000..8fe6c8b896a4e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-setfit_model_feb11_misinformation_on_mandates_public_health_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English setfit_model_feb11_misinformation_on_mandates_public_health_pipeline pipeline MPNetEmbeddings from mitra-mir
+author: John Snow Labs
+name: setfit_model_feb11_misinformation_on_mandates_public_health_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`setfit_model_feb11_misinformation_on_mandates_public_health_pipeline` is a English model originally trained by mitra-mir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_model_feb11_misinformation_on_mandates_public_health_pipeline_en_5.5.0_3.0_1725978835262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_model_feb11_misinformation_on_mandates_public_health_pipeline_en_5.5.0_3.0_1725978835262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("setfit_model_feb11_misinformation_on_mandates_public_health_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("setfit_model_feb11_misinformation_on_mandates_public_health_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|setfit_model_feb11_misinformation_on_mandates_public_health_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/mitra-mir/setfit-model-Feb11-Misinformation-on-Mandates-Public-Health
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-test_saudi82s_en.md b/docs/_posts/ahmedlone127/2024-09-10-test_saudi82s_en.md
new file mode 100644
index 00000000000000..81c1f2d32ab37a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-test_saudi82s_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_saudi82s DistilBertForSequenceClassification from saudi82s
+author: John Snow Labs
+name: test_saudi82s
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_saudi82s` is a English model originally trained by saudi82s.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_saudi82s_en_5.5.0_3.0_1726009210764.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_saudi82s_en_5.5.0_3.0_1726009210764.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_saudi82s|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/saudi82s/test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_swedish_groupsix_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_swedish_groupsix_pipeline_en.md
new file mode 100644
index 00000000000000..1eefd0173e13f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_swedish_groupsix_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_swedish_groupsix_pipeline pipeline WhisperForCTC from GroupSix
+author: John Snow Labs
+name: whisper_small_swedish_groupsix_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_swedish_groupsix_pipeline` is a English model originally trained by GroupSix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_swedish_groupsix_pipeline_en_5.5.0_3.0_1725953054462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_swedish_groupsix_pipeline_en_5.5.0_3.0_1725953054462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_swedish_groupsix_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_swedish_groupsix_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_swedish_groupsix_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/GroupSix/whisper-small-sv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_kinyarwanda_kinre_finetuned_kinyarwanda_sent1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_kinyarwanda_kinre_finetuned_kinyarwanda_sent1_pipeline_en.md
new file mode 100644
index 00000000000000..6d3751d3292299
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_kinyarwanda_kinre_finetuned_kinyarwanda_sent1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_kinyarwanda_kinre_finetuned_kinyarwanda_sent1_pipeline pipeline XlmRoBertaForSequenceClassification from RogerB
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_kinyarwanda_kinre_finetuned_kinyarwanda_sent1_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_kinyarwanda_kinre_finetuned_kinyarwanda_sent1_pipeline` is a English model originally trained by RogerB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_kinyarwanda_kinre_finetuned_kinyarwanda_sent1_pipeline_en_5.5.0_3.0_1726004445247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_kinyarwanda_kinre_finetuned_kinyarwanda_sent1_pipeline_en_5.5.0_3.0_1726004445247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_kinyarwanda_kinre_finetuned_kinyarwanda_sent1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_kinyarwanda_kinre_finetuned_kinyarwanda_sent1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_kinyarwanda_kinre_finetuned_kinyarwanda_sent1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/RogerB/xlm-roberta-base-finetuned-kinyarwanda-kinre-finetuned-kin-sent1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_sick_leave_detector_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_sick_leave_detector_pipeline_en.md
new file mode 100644
index 00000000000000..f380b538ce4739
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_sick_leave_detector_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_sick_leave_detector_pipeline pipeline XlmRoBertaForSequenceClassification from kamilhism
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_sick_leave_detector_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_sick_leave_detector_pipeline` is a English model originally trained by kamilhism.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_sick_leave_detector_pipeline_en_5.5.0_3.0_1725967492882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_sick_leave_detector_pipeline_en_5.5.0_3.0_1725967492882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_sick_leave_detector_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_sick_leave_detector_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_sick_leave_detector_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|822.2 MB|
+
+## References
+
+https://huggingface.co/kamilhism/xlm-roberta-base-finetuned-sick-leave-detector
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_misogyny_sexism_tweets_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_misogyny_sexism_tweets_en.md
new file mode 100644
index 00000000000000..ac26853fad006c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_misogyny_sexism_tweets_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_misogyny_sexism_tweets XlmRoBertaForSequenceClassification from annahaz
+author: John Snow Labs
+name: xlm_roberta_base_misogyny_sexism_tweets
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_misogyny_sexism_tweets` is a English model originally trained by annahaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_misogyny_sexism_tweets_en_5.5.0_3.0_1725968760845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_misogyny_sexism_tweets_en_5.5.0_3.0_1725968760845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_misogyny_sexism_tweets|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|865.9 MB|
+
+## References
+
+https://huggingface.co/annahaz/xlm-roberta-base-misogyny-sexism-tweets
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_v_base_trimmed_portuguese_tweet_sentiment_portuguese_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_v_base_trimmed_portuguese_tweet_sentiment_portuguese_en.md
new file mode 100644
index 00000000000000..ec850a8be03bd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_v_base_trimmed_portuguese_tweet_sentiment_portuguese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_v_base_trimmed_portuguese_tweet_sentiment_portuguese XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_v_base_trimmed_portuguese_tweet_sentiment_portuguese
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_v_base_trimmed_portuguese_tweet_sentiment_portuguese` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_v_base_trimmed_portuguese_tweet_sentiment_portuguese_en_5.5.0_3.0_1725992463548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_v_base_trimmed_portuguese_tweet_sentiment_portuguese_en_5.5.0_3.0_1725992463548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_ner_xlm_roberta_base_finetuned_swahili_finetuned_ner_yoruba|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|yo|
+|Size:|1.0 GB|
+
+## References
+
+References
+
+- https://huggingface.co/mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-yoruba
+- https://arxiv.org/abs/2103.11811
+- https://github.com/Michael-Beukman/NERTransfer
+- https://www.apache.org/licenses/LICENSE-2.0
+- https://github.com/Michael-Beukma
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline_en.md
new file mode 100644
index 00000000000000..bf7de35fe78dd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline pipeline DeBertaForSequenceClassification from diogopaes10
+author: John Snow Labs
+name: 011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline` is a English model originally trained by diogopaes10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline_en_5.5.0_3.0_1726030322882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline_en_5.5.0_3.0_1726030322882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|618.4 MB|
+
+## References
+
+https://huggingface.co/diogopaes10/011-microsoft-deberta-v3-base-finetuned-yahoo-8000_2000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-256data_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-256data_pipeline_en.md
new file mode 100644
index 00000000000000..15a3bac4edddee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-256data_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English 256data_pipeline pipeline MPNetEmbeddings from Watwat100
+author: John Snow Labs
+name: 256data_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`256data_pipeline` is a English model originally trained by Watwat100.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/256data_pipeline_en_5.5.0_3.0_1726088770876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/256data_pipeline_en_5.5.0_3.0_1726088770876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("256data_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("256data_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|256data_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/Watwat100/256data
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-albert_base_v2_finetuned_mrpc_jefryelb_en.md b/docs/_posts/ahmedlone127/2024-09-11-albert_base_v2_finetuned_mrpc_jefryelb_en.md
new file mode 100644
index 00000000000000..4d1cbf1997e652
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-albert_base_v2_finetuned_mrpc_jefryelb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_base_v2_finetuned_mrpc_jefryelb AlbertForSequenceClassification from jefryelb
+author: John Snow Labs
+name: albert_base_v2_finetuned_mrpc_jefryelb
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_v2_finetuned_mrpc_jefryelb` is a English model originally trained by jefryelb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_v2_finetuned_mrpc_jefryelb_en_5.5.0_3.0_1726070861088.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_v2_finetuned_mrpc_jefryelb_en_5.5.0_3.0_1726070861088.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_v2_finetuned_mrpc_jefryelb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/jefryelb/albert-base-v2-finetuned-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-albert_base_v2_fold_4_en.md b/docs/_posts/ahmedlone127/2024-09-11-albert_base_v2_fold_4_en.md
new file mode 100644
index 00000000000000..29ed7dce44f705
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-albert_base_v2_fold_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_base_v2_fold_4 AlbertForSequenceClassification from research-dump
+author: John Snow Labs
+name: albert_base_v2_fold_4
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_v2_fold_4` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_v2_fold_4_en_5.5.0_3.0_1726081218382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_v2_fold_4_en_5.5.0_3.0_1726081218382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_v2_fold_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/research-dump/albert-base-v2_fold_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-amazon_topical_chat_sentiment_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-amazon_topical_chat_sentiment_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..aeaa065df5bcd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-amazon_topical_chat_sentiment_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English amazon_topical_chat_sentiment_roberta_pipeline pipeline RoBertaForSequenceClassification from reichenbach
+author: John Snow Labs
+name: amazon_topical_chat_sentiment_roberta_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_topical_chat_sentiment_roberta_pipeline` is a English model originally trained by reichenbach.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_topical_chat_sentiment_roberta_pipeline_en_5.5.0_3.0_1726022425307.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_topical_chat_sentiment_roberta_pipeline_en_5.5.0_3.0_1726022425307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("amazon_topical_chat_sentiment_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("amazon_topical_chat_sentiment_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_topical_chat_sentiment_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|452.7 MB|
+
+## References
+
+https://huggingface.co/reichenbach/amazon_topical_chat_sentiment_roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-babyberta_wikipedia1_2_5m_wikipedia_french_without_masking_seed6_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-babyberta_wikipedia1_2_5m_wikipedia_french_without_masking_seed6_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..31e17a1a1bf25e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-babyberta_wikipedia1_2_5m_wikipedia_french_without_masking_seed6_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_wikipedia1_2_5m_wikipedia_french_without_masking_seed6_finetuned_squad_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_wikipedia1_2_5m_wikipedia_french_without_masking_seed6_finetuned_squad_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_wikipedia1_2_5m_wikipedia_french_without_masking_seed6_finetuned_squad_pipeline` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia1_2_5m_wikipedia_french_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1726039186893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia1_2_5m_wikipedia_french_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1726039186893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_wikipedia1_2_5m_wikipedia_french_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_wikipedia1_2_5m_wikipedia_french_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_wikipedia1_2_5m_wikipedia_french_without_masking_seed6_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-wikipedia1_2.5M_wikipedia_french-without-Masking-seed6-finetuned-SQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-bashkir_roberta_base_ba.md b/docs/_posts/ahmedlone127/2024-09-11-bashkir_roberta_base_ba.md
new file mode 100644
index 00000000000000..8ac81effa952ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-bashkir_roberta_base_ba.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Bashkir bashkir_roberta_base RoBertaEmbeddings from macedonizer
+author: John Snow Labs
+name: bashkir_roberta_base
+date: 2024-09-11
+tags: [ba, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: ba
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bashkir_roberta_base` is a Bashkir model originally trained by macedonizer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bashkir_roberta_base_ba_5.5.0_3.0_1726093968736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bashkir_roberta_base_ba_5.5.0_3.0_1726093968736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bashkir_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|ba|
+|Size:|311.7 MB|
+
+## References
+
+https://huggingface.co/macedonizer/ba-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-bert_uncased_slot_filling_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-bert_uncased_slot_filling_pipeline_en.md
new file mode 100644
index 00000000000000..0595fab4a25f52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-bert_uncased_slot_filling_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_uncased_slot_filling_pipeline pipeline BertForTokenClassification from andgonzalez
+author: John Snow Labs
+name: bert_uncased_slot_filling_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_uncased_slot_filling_pipeline` is a English model originally trained by andgonzalez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_slot_filling_pipeline_en_5.5.0_3.0_1726026100507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_slot_filling_pipeline_en_5.5.0_3.0_1726026100507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_uncased_slot_filling_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_uncased_slot_filling_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_slot_filling_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.5 MB|
+
+## References
+
+https://huggingface.co/andgonzalez/bert-uncased-slot-filling
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_opus_books_model_lucasschnee_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_opus_books_model_lucasschnee_pipeline_en.md
new file mode 100644
index 00000000000000..3c3ffbf4546a8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_opus_books_model_lucasschnee_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_opus_books_model_lucasschnee_pipeline pipeline MarianTransformer from Lucasschnee
+author: John Snow Labs
+name: burmese_awesome_opus_books_model_lucasschnee_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_opus_books_model_lucasschnee_pipeline` is a English model originally trained by Lucasschnee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_opus_books_model_lucasschnee_pipeline_en_5.5.0_3.0_1726038503735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_opus_books_model_lucasschnee_pipeline_en_5.5.0_3.0_1726038503735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_opus_books_model_lucasschnee_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_opus_books_model_lucasschnee_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_opus_books_model_lucasschnee_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|623.5 MB|
+
+## References
+
+https://huggingface.co/Lucasschnee/my_awesome_opus_books_model
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_setfit_model_laxman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_setfit_model_laxman_pipeline_en.md
new file mode 100644
index 00000000000000..eb19aee5dacdcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_setfit_model_laxman_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_setfit_model_laxman_pipeline pipeline MPNetEmbeddings from Laxman
+author: John Snow Labs
+name: burmese_awesome_setfit_model_laxman_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_setfit_model_laxman_pipeline` is a English model originally trained by Laxman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_setfit_model_laxman_pipeline_en_5.5.0_3.0_1726033609435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_setfit_model_laxman_pipeline_en_5.5.0_3.0_1726033609435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_setfit_model_laxman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_setfit_model_laxman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_setfit_model_laxman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/Laxman/my-awesome-setfit-model
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_bert_qa_model_04_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_bert_qa_model_04_en.md
new file mode 100644
index 00000000000000..56b9d486684488
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_bert_qa_model_04_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_bert_qa_model_04 RoBertaForQuestionAnswering from arunkarthik
+author: John Snow Labs
+name: burmese_bert_qa_model_04
+date: 2024-09-11
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_bert_qa_model_04` is a English model originally trained by arunkarthik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_bert_qa_model_04_en_5.5.0_3.0_1726062180906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_bert_qa_model_04_en_5.5.0_3.0_1726062180906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_bert_qa_model_04|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|463.5 MB|
+
+## References
+
+https://huggingface.co/arunkarthik/my_bert_qa_model_04
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-citation_classifier_bert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-citation_classifier_bert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..14bacc8461ff92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-citation_classifier_bert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English citation_classifier_bert_base_uncased_pipeline pipeline BertForSequenceClassification from selink
+author: John Snow Labs
+name: citation_classifier_bert_base_uncased_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`citation_classifier_bert_base_uncased_pipeline` is a English model originally trained by selink.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/citation_classifier_bert_base_uncased_pipeline_en_5.5.0_3.0_1726015290484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/citation_classifier_bert_base_uncased_pipeline_en_5.5.0_3.0_1726015290484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("citation_classifier_bert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("citation_classifier_bert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|citation_classifier_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/selink/citation-classifier-bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-codeberta_csharp_en.md b/docs/_posts/ahmedlone127/2024-09-11-codeberta_csharp_en.md
new file mode 100644
index 00000000000000..052fefd6862969
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-codeberta_csharp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English codeberta_csharp RoBertaEmbeddings from fasterinnerlooper
+author: John Snow Labs
+name: codeberta_csharp
+date: 2024-09-11
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`codeberta_csharp` is a English model originally trained by fasterinnerlooper.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codeberta_csharp_en_5.5.0_3.0_1726093746532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codeberta_csharp_en_5.5.0_3.0_1726093746532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codeberta_csharp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|311.8 MB|
+
+## References
+
+https://huggingface.co/fasterinnerlooper/codeBERTa-csharp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-cold_fusion_itr24_seed4_en.md b/docs/_posts/ahmedlone127/2024-09-11-cold_fusion_itr24_seed4_en.md
new file mode 100644
index 00000000000000..b2b47227fb67b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-cold_fusion_itr24_seed4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_itr24_seed4 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr24_seed4
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr24_seed4` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr24_seed4_en_5.5.0_3.0_1726096490006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr24_seed4_en_5.5.0_3.0_1726096490006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr24_seed4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr24-seed4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-deberta_tomatoes_sentiment_caupolicandiaz_en.md b/docs/_posts/ahmedlone127/2024-09-11-deberta_tomatoes_sentiment_caupolicandiaz_en.md
new file mode 100644
index 00000000000000..c61ee7d0521a78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-deberta_tomatoes_sentiment_caupolicandiaz_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_tomatoes_sentiment_caupolicandiaz DeBertaForSequenceClassification from CaupolicanDiaz
+author: John Snow Labs
+name: deberta_tomatoes_sentiment_caupolicandiaz
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_tomatoes_sentiment_caupolicandiaz` is a English model originally trained by CaupolicanDiaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_tomatoes_sentiment_caupolicandiaz_en_5.5.0_3.0_1726030086297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_tomatoes_sentiment_caupolicandiaz_en_5.5.0_3.0_1726030086297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_tomatoes_sentiment_caupolicandiaz|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|589.0 MB|
+
+## References
+
+https://huggingface.co/CaupolicanDiaz/deberta-tomatoes-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_emotion_lsh231_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_emotion_lsh231_en.md
new file mode 100644
index 00000000000000..f6cd4fc7da2084
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_emotion_lsh231_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_lsh231 DistilBertForSequenceClassification from lsh231
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_lsh231
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lsh231` is a English model originally trained by lsh231.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lsh231_en_5.5.0_3.0_1726014426552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lsh231_en_5.5.0_3.0_1726014426552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_lsh231|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lsh231/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_events_v6_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_events_v6_en.md
new file mode 100644
index 00000000000000..2b09f3e720059a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_events_v6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_events_v6 DistilBertForSequenceClassification from joedonino
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_events_v6
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_events_v6` is a English model originally trained by joedonino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_events_v6_en_5.5.0_3.0_1726017854006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_events_v6_en_5.5.0_3.0_1726017854006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad2_vubacktracking|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/vubacktracking/distilbert-base-uncased-finetuned-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_ajika2102_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_ajika2102_pipeline_en.md
new file mode 100644
index 00000000000000..219b8d1b57a7ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_ajika2102_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_ajika2102_pipeline pipeline DistilBertForQuestionAnswering from Ajika2102
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_ajika2102_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_ajika2102_pipeline` is a English model originally trained by Ajika2102.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_ajika2102_pipeline_en_5.5.0_3.0_1726028717953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_ajika2102_pipeline_en_5.5.0_3.0_1726028717953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_ajika2102_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_ajika2102_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_ajika2102_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Ajika2102/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_taytaychu_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_taytaychu_en.md
new file mode 100644
index 00000000000000..bcf88ebacd8bce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_taytaychu_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_taytaychu DistilBertForQuestionAnswering from taytaychu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_taytaychu
+date: 2024-09-11
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_taytaychu` is a English model originally trained by taytaychu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_taytaychu_en_5.5.0_3.0_1726028836926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_taytaychu_en_5.5.0_3.0_1726028836926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_taytaychu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/taytaychu/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean100_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean100_en.md
new file mode 100644
index 00000000000000..23e5513095a5e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean100
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean100_en_5.5.0_3.0_1726017955164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean100_en_5.5.0_3.0_1726017955164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st5sd_ut72ut1largePfxNf_simsp300_clean100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-dummy_setfit_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-dummy_setfit_model_pipeline_en.md
new file mode 100644
index 00000000000000..197234d0b22a20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-dummy_setfit_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English dummy_setfit_model_pipeline pipeline MPNetEmbeddings from lewtun
+author: John Snow Labs
+name: dummy_setfit_model_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_setfit_model_pipeline` is a English model originally trained by lewtun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_setfit_model_pipeline_en_5.5.0_3.0_1726034044099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_setfit_model_pipeline_en_5.5.0_3.0_1726034044099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_setfit_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_setfit_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_setfit_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/lewtun/dummy-setfit-model
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-finetuning_emotion_model_sirjosephenry_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-finetuning_emotion_model_sirjosephenry_pipeline_en.md
new file mode 100644
index 00000000000000..da09aaf864d099
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-finetuning_emotion_model_sirjosephenry_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_emotion_model_sirjosephenry_pipeline pipeline DistilBertForSequenceClassification from sirjosephenry
+author: John Snow Labs
+name: finetuning_emotion_model_sirjosephenry_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_sirjosephenry_pipeline` is a English model originally trained by sirjosephenry.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_sirjosephenry_pipeline_en_5.5.0_3.0_1726014367560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_sirjosephenry_pipeline_en_5.5.0_3.0_1726014367560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_emotion_model_sirjosephenry_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_emotion_model_sirjosephenry_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_emotion_model_sirjosephenry_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sirjosephenry/finetuning-emotion-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-g_name_en.md b/docs/_posts/ahmedlone127/2024-09-11-g_name_en.md
new file mode 100644
index 00000000000000..422f49f381fe86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-g_name_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English g_name RoBertaForSequenceClassification from hemakumari
+author: John Snow Labs
+name: g_name
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`g_name` is a English model originally trained by hemakumari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/g_name_en_5.5.0_3.0_1726061346215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/g_name_en_5.5.0_3.0_1726061346215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|g_name|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|425.5 MB|
+
+## References
+
+https://huggingface.co/hemakumari/g_name
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-german_toxicity_classifier_plus_v2_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-11-german_toxicity_classifier_plus_v2_pipeline_de.md
new file mode 100644
index 00000000000000..1843ab6fb1944d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-german_toxicity_classifier_plus_v2_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German german_toxicity_classifier_plus_v2_pipeline pipeline BertForSequenceClassification from EIStakovskii
+author: John Snow Labs
+name: german_toxicity_classifier_plus_v2_pipeline
+date: 2024-09-11
+tags: [de, open_source, pipeline, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`german_toxicity_classifier_plus_v2_pipeline` is a German model originally trained by EIStakovskii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_toxicity_classifier_plus_v2_pipeline_de_5.5.0_3.0_1726060031526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_toxicity_classifier_plus_v2_pipeline_de_5.5.0_3.0_1726060031526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("german_toxicity_classifier_plus_v2_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("german_toxicity_classifier_plus_v2_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_toxicity_classifier_plus_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|412.1 MB|
+
+## References
+
+https://huggingface.co/EIStakovskii/german_toxicity_classifier_plus_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-ibert_roberta_base_finetuned_mrpc_en.md b/docs/_posts/ahmedlone127/2024-09-11-ibert_roberta_base_finetuned_mrpc_en.md
new file mode 100644
index 00000000000000..4d4b1808fe91bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-ibert_roberta_base_finetuned_mrpc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ibert_roberta_base_finetuned_mrpc RoBertaForSequenceClassification from VitaliiVrublevskyi
+author: John Snow Labs
+name: ibert_roberta_base_finetuned_mrpc
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ibert_roberta_base_finetuned_mrpc` is a English model originally trained by VitaliiVrublevskyi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ibert_roberta_base_finetuned_mrpc_en_5.5.0_3.0_1726060744899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ibert_roberta_base_finetuned_mrpc_en_5.5.0_3.0_1726060744899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ibert_roberta_base_finetuned_mrpc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|442.4 MB|
+
+## References
+
+https://huggingface.co/VitaliiVrublevskyi/ibert-roberta-base-finetuned-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-marian_finetuned_kde4_english_tonga_tonga_islands_italian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-marian_finetuned_kde4_english_tonga_tonga_islands_italian_pipeline_en.md
new file mode 100644
index 00000000000000..93011681677411
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-marian_finetuned_kde4_english_tonga_tonga_islands_italian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_italian_pipeline pipeline MarianTransformer from lerzegov
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_italian_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_italian_pipeline` is a English model originally trained by lerzegov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_italian_pipeline_en_5.5.0_3.0_1726047997110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_italian_pipeline_en_5.5.0_3.0_1726047997110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_italian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_italian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_italian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|623.5 MB|
+
+## References
+
+https://huggingface.co/lerzegov/marian-finetuned-kde4-en-to-it
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-medicalquestions_en.md b/docs/_posts/ahmedlone127/2024-09-11-medicalquestions_en.md
new file mode 100644
index 00000000000000..3804234644b5c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-medicalquestions_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English medicalquestions BertForSequenceClassification from fhirfly
+author: John Snow Labs
+name: medicalquestions
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medicalquestions` is a English model originally trained by fhirfly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medicalquestions_en_5.5.0_3.0_1726060269435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medicalquestions_en_5.5.0_3.0_1726060269435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medicalquestions|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.3 MB|
+
+## References
+
+https://huggingface.co/fhirfly/medicalquestions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-movie_genre_classifier_sinanmz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-movie_genre_classifier_sinanmz_pipeline_en.md
new file mode 100644
index 00000000000000..7ef28deab6ae0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-movie_genre_classifier_sinanmz_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English movie_genre_classifier_sinanmz_pipeline pipeline BertForSequenceClassification from Sinanmz
+author: John Snow Labs
+name: movie_genre_classifier_sinanmz_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movie_genre_classifier_sinanmz_pipeline` is a English model originally trained by Sinanmz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_genre_classifier_sinanmz_pipeline_en_5.5.0_3.0_1726015616111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_genre_classifier_sinanmz_pipeline_en_5.5.0_3.0_1726015616111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("movie_genre_classifier_sinanmz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("movie_genre_classifier_sinanmz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_genre_classifier_sinanmz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Sinanmz/Movie_Genre_Classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-mpnet_frozen_newtriplets_v2_lr_1e_8_m_1_e_3_en.md b/docs/_posts/ahmedlone127/2024-09-11-mpnet_frozen_newtriplets_v2_lr_1e_8_m_1_e_3_en.md
new file mode 100644
index 00000000000000..83c436082f4e26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-mpnet_frozen_newtriplets_v2_lr_1e_8_m_1_e_3_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English mpnet_frozen_newtriplets_v2_lr_1e_8_m_1_e_3 MPNetEmbeddings from luiz-and-robert-thesis
+author: John Snow Labs
+name: mpnet_frozen_newtriplets_v2_lr_1e_8_m_1_e_3
+date: 2024-09-11
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mpnet_frozen_newtriplets_v2_lr_1e_8_m_1_e_3` is a English model originally trained by luiz-and-robert-thesis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnet_frozen_newtriplets_v2_lr_1e_8_m_1_e_3_en_5.5.0_3.0_1726033731105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnet_frozen_newtriplets_v2_lr_1e_8_m_1_e_3_en_5.5.0_3.0_1726033731105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpnet_frozen_newtriplets_v2_lr_1e_8_m_1_e_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/luiz-and-robert-thesis/mpnet-frozen-newtriplets-v2-lr-1e-8-m-1-e-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-n_roberta_imdb_padding30model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-n_roberta_imdb_padding30model_pipeline_en.md
new file mode 100644
index 00000000000000..ac4125136e9298
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-n_roberta_imdb_padding30model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_roberta_imdb_padding30model_pipeline pipeline RoBertaForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_roberta_imdb_padding30model_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_roberta_imdb_padding30model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_roberta_imdb_padding30model_pipeline_en_5.5.0_3.0_1726061507207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_roberta_imdb_padding30model_pipeline_en_5.5.0_3.0_1726061507207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_roberta_imdb_padding30model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_roberta_imdb_padding30model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_roberta_imdb_padding30model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.2 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_roberta_imdb_padding30model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-n_roberta_imdb_padding70model_en.md b/docs/_posts/ahmedlone127/2024-09-11-n_roberta_imdb_padding70model_en.md
new file mode 100644
index 00000000000000..dcc6fcb389016d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-n_roberta_imdb_padding70model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_roberta_imdb_padding70model RoBertaForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_roberta_imdb_padding70model
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_roberta_imdb_padding70model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_roberta_imdb_padding70model_en_5.5.0_3.0_1726062815535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_roberta_imdb_padding70model_en_5.5.0_3.0_1726062815535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_roberta_imdb_padding70model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|463.2 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_roberta_imdb_padding70model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-n_roberta_imdb_padding70model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-n_roberta_imdb_padding70model_pipeline_en.md
new file mode 100644
index 00000000000000..4f90cac6d1326c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-n_roberta_imdb_padding70model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_roberta_imdb_padding70model_pipeline pipeline RoBertaForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_roberta_imdb_padding70model_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_roberta_imdb_padding70model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_roberta_imdb_padding70model_pipeline_en_5.5.0_3.0_1726062839602.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_roberta_imdb_padding70model_pipeline_en_5.5.0_3.0_1726062839602.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_roberta_imdb_padding70model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_roberta_imdb_padding70model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_roberta_imdb_padding70model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.2 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_roberta_imdb_padding70model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-nert_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-11-nert_pipeline_tr.md
new file mode 100644
index 00000000000000..54b9ce3bd7665c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-nert_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish nert_pipeline pipeline BertForTokenClassification from TerminatorPower
+author: John Snow Labs
+name: nert_pipeline
+date: 2024-09-11
+tags: [tr, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nert_pipeline` is a Turkish model originally trained by TerminatorPower.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nert_pipeline_tr_5.5.0_3.0_1726076733291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nert_pipeline_tr_5.5.0_3.0_1726076733291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nert_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nert_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|412.5 MB|
+
+## References
+
+https://huggingface.co/TerminatorPower/nerT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_pipeline_en.md
new file mode 100644
index 00000000000000..442e76b2628195
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_pipeline pipeline MarianTransformer from rohan12
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_pipeline` is a English model originally trained by rohan12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_pipeline_en_5.5.0_3.0_1726050010903.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_pipeline_en_5.5.0_3.0_1726050010903.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/rohan12/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-practica2_arturogl_en.md b/docs/_posts/ahmedlone127/2024-09-11-practica2_arturogl_en.md
new file mode 100644
index 00000000000000..26a0ea4fa0fb37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-practica2_arturogl_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English practica2_arturogl RoBertaForSequenceClassification from ArturoGL
+author: John Snow Labs
+name: practica2_arturogl
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`practica2_arturogl` is a English model originally trained by ArturoGL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/practica2_arturogl_en_5.5.0_3.0_1726096595397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/practica2_arturogl_en_5.5.0_3.0_1726096595397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|practica2_arturogl|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/ArturoGL/practica2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_base_finetuned_vedantgaur_human_generated_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_finetuned_vedantgaur_human_generated_en.md
new file mode 100644
index 00000000000000..199e75dc1ee4df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_finetuned_vedantgaur_human_generated_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_vedantgaur_human_generated RoBertaForSequenceClassification from SkwarczynskiP
+author: John Snow Labs
+name: roberta_base_finetuned_vedantgaur_human_generated
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_vedantgaur_human_generated` is a English model originally trained by SkwarczynskiP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_vedantgaur_human_generated_en_5.5.0_3.0_1726061106343.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_vedantgaur_human_generated_en_5.5.0_3.0_1726061106343.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_vedantgaur_human_generated|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|417.1 MB|
+
+## References
+
+https://huggingface.co/SkwarczynskiP/roberta-base-finetuned-vedantgaur-human-generated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_clinical_wl_spanish_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_clinical_wl_spanish_pipeline_es.md
new file mode 100644
index 00000000000000..0cb94322423c1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_clinical_wl_spanish_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish roberta_clinical_wl_spanish_pipeline pipeline RoBertaEmbeddings from plncmm
+author: John Snow Labs
+name: roberta_clinical_wl_spanish_pipeline
+date: 2024-09-11
+tags: [es, open_source, pipeline, onnx]
+task: Embeddings
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_clinical_wl_spanish_pipeline` is a Castilian, Spanish model originally trained by plncmm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_clinical_wl_spanish_pipeline_es_5.5.0_3.0_1726065861918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_clinical_wl_spanish_pipeline_es_5.5.0_3.0_1726065861918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_clinical_wl_spanish_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_clinical_wl_spanish_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_clinical_wl_spanish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|469.7 MB|
+
+## References
+
+https://huggingface.co/plncmm/roberta-clinical-wl-es
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_finetuned_subjqa_movies_2_mary8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_finetuned_subjqa_movies_2_mary8_pipeline_en.md
new file mode 100644
index 00000000000000..fa943558ded19c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_finetuned_subjqa_movies_2_mary8_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_mary8_pipeline pipeline RoBertaForQuestionAnswering from Mary8
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_mary8_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_mary8_pipeline` is a English model originally trained by Mary8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_mary8_pipeline_en_5.5.0_3.0_1726039445303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_mary8_pipeline_en_5.5.0_3.0_1726039445303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_subjqa_movies_2_mary8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_movies_2_mary8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_mary8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/Mary8/roberta-finetuned-subjqa-movies_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_harmeme_c_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_harmeme_c_pipeline_en.md
new file mode 100644
index 00000000000000..ba78445a5ef56d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_harmeme_c_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_harmeme_c_pipeline pipeline RoBertaForSequenceClassification from jayanta
+author: John Snow Labs
+name: roberta_harmeme_c_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_harmeme_c_pipeline` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_harmeme_c_pipeline_en_5.5.0_3.0_1726090201898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_harmeme_c_pipeline_en_5.5.0_3.0_1726090201898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_harmeme_c_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_harmeme_c_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_harmeme_c_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|431.1 MB|
+
+## References
+
+https://huggingface.co/jayanta/roberta-harmeme-C
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-romanian_offense_ro.md b/docs/_posts/ahmedlone127/2024-09-11-romanian_offense_ro.md
new file mode 100644
index 00000000000000..4f213b4f5937d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-romanian_offense_ro.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Moldavian, Moldovan, Romanian romanian_offense BertForSequenceClassification from readerbench
+author: John Snow Labs
+name: romanian_offense
+date: 2024-09-11
+tags: [ro, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: ro
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`romanian_offense` is a Moldavian, Moldovan, Romanian model originally trained by readerbench.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/romanian_offense_ro_5.5.0_3.0_1726091786222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/romanian_offense_ro_5.5.0_3.0_1726091786222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|romanian_offense|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ro|
+|Size:|431.5 MB|
+
+## References
+
+https://huggingface.co/readerbench/ro-offense
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-sentiment_roberta_twitter_en.md b/docs/_posts/ahmedlone127/2024-09-11-sentiment_roberta_twitter_en.md
new file mode 100644
index 00000000000000..ec71c516b03124
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-sentiment_roberta_twitter_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_roberta_twitter RoBertaForSequenceClassification from researchworkai
+author: John Snow Labs
+name: sentiment_roberta_twitter
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_roberta_twitter` is a English model originally trained by researchworkai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_roberta_twitter_en_5.5.0_3.0_1726022719219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_roberta_twitter_en_5.5.0_3.0_1726022719219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_roberta_twitter|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/researchworkai/Sentiment-roBERTa-Twitter
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-stego_classifier_checkpoint_epoch_20_2024_07_26_13_30_02_en.md b/docs/_posts/ahmedlone127/2024-09-11-stego_classifier_checkpoint_epoch_20_2024_07_26_13_30_02_en.md
new file mode 100644
index 00000000000000..93b525b84b588e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-stego_classifier_checkpoint_epoch_20_2024_07_26_13_30_02_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_20_2024_07_26_13_30_02 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_20_2024_07_26_13_30_02
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_20_2024_07_26_13_30_02` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_20_2024_07_26_13_30_02_en_5.5.0_3.0_1726051957115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_20_2024_07_26_13_30_02_en_5.5.0_3.0_1726051957115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_20_2024_07_26_13_30_02|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-20-2024-07-26_13-30-02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-test_bazina_en.md b/docs/_posts/ahmedlone127/2024-09-11-test_bazina_en.md
new file mode 100644
index 00000000000000..9a01ced429d103
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-test_bazina_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_bazina RoBertaForSequenceClassification from bazina
+author: John Snow Labs
+name: test_bazina
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_bazina` is a English model originally trained by bazina.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_bazina_en_5.5.0_3.0_1726090486784.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_bazina_en_5.5.0_3.0_1726090486784.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_bazina|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|300.4 MB|
+
+## References
+
+https://huggingface.co/bazina/test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-websector_flexible_en.md b/docs/_posts/ahmedlone127/2024-09-11-websector_flexible_en.md
new file mode 100644
index 00000000000000..d98cc58bd97b22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-websector_flexible_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English websector_flexible RoBertaForSequenceClassification from Shahriar
+author: John Snow Labs
+name: websector_flexible
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`websector_flexible` is a English model originally trained by Shahriar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/websector_flexible_en_5.5.0_3.0_1726023151571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/websector_flexible_en_5.5.0_3.0_1726023151571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|websector_flexible|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|329.2 MB|
+
+## References
+
+https://huggingface.co/Shahriar/WebSector-Flexible
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_dutch_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_dutch_pipeline_en.md
new file mode 100644
index 00000000000000..e7f131220007be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_dutch_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_dutch_pipeline pipeline XlmRoBertaForTokenClassification from ladoza03
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_dutch_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_dutch_pipeline` is a English model originally trained by ladoza03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_dutch_pipeline_en_5.5.0_3.0_1726018888646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_dutch_pipeline_en_5.5.0_3.0_1726018888646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_dutch_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_dutch_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_dutch_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.2 MB|
+
+## References
+
+https://huggingface.co/ladoza03/xlm-roberta-base-finetuned-panx-nl
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_french_seobak_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_french_seobak_pipeline_en.md
new file mode 100644
index 00000000000000..544c5bafb68406
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_french_seobak_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_seobak_pipeline pipeline XlmRoBertaForTokenClassification from seobak
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_seobak_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_seobak_pipeline` is a English model originally trained by seobak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_seobak_pipeline_en_5.5.0_3.0_1726020121842.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_seobak_pipeline_en_5.5.0_3.0_1726020121842.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_seobak_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_seobak_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_seobak_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/seobak/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_jangbi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_jangbi_pipeline_en.md
new file mode 100644
index 00000000000000..71e92c06a44781
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_jangbi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_jangbi_pipeline pipeline XlmRoBertaForTokenClassification from jangbi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_jangbi_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_jangbi_pipeline` is a English model originally trained by jangbi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_jangbi_pipeline_en_5.5.0_3.0_1726068508781.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_jangbi_pipeline_en_5.5.0_3.0_1726068508781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_jangbi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_jangbi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_jangbi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/jangbi/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_italian_aiekek_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_italian_aiekek_en.md
new file mode 100644
index 00000000000000..60566cd0074a42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_italian_aiekek_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_aiekek XlmRoBertaForTokenClassification from AIEKEK
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_aiekek
+date: 2024-09-11
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_aiekek` is a English model originally trained by AIEKEK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_aiekek_en_5.5.0_3.0_1726068268287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_aiekek_en_5.5.0_3.0_1726068268287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_aiekek|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|816.7 MB|
+
+## References
+
+https://huggingface.co/AIEKEK/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_fintuned_panx_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_fintuned_panx_english_pipeline_en.md
new file mode 100644
index 00000000000000..f3b9fa44123357
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_fintuned_panx_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_fintuned_panx_english_pipeline pipeline XlmRoBertaForTokenClassification from tatsunori
+author: John Snow Labs
+name: xlm_roberta_base_fintuned_panx_english_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_fintuned_panx_english_pipeline` is a English model originally trained by tatsunori.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_fintuned_panx_english_pipeline_en_5.5.0_3.0_1726019261117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_fintuned_panx_english_pipeline_en_5.5.0_3.0_1726019261117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_fintuned_panx_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_fintuned_panx_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_fintuned_panx_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|814.3 MB|
+
+## References
+
+https://huggingface.co/tatsunori/xlm-roberta-base-fintuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-500_sdb_taxxl_average_768_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-500_sdb_taxxl_average_768_pipeline_en.md
new file mode 100644
index 00000000000000..7c440466fb245e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-500_sdb_taxxl_average_768_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 500_sdb_taxxl_average_768_pipeline pipeline DistilBertEmbeddings from sripadhstudy
+author: John Snow Labs
+name: 500_sdb_taxxl_average_768_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`500_sdb_taxxl_average_768_pipeline` is a English model originally trained by sripadhstudy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/500_sdb_taxxl_average_768_pipeline_en_5.5.0_3.0_1726105445128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/500_sdb_taxxl_average_768_pipeline_en_5.5.0_3.0_1726105445128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("500_sdb_taxxl_average_768_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("500_sdb_taxxl_average_768_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|500_sdb_taxxl_average_768_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.5 MB|
+
+## References
+
+https://huggingface.co/sripadhstudy/500_SDB_TAxxL_average_768
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-bert_base_uncased_finetuned_irony_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-bert_base_uncased_finetuned_irony_pipeline_en.md
new file mode 100644
index 00000000000000..a34db4e8a6a92e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-bert_base_uncased_finetuned_irony_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_irony_pipeline pipeline BertForSequenceClassification from niktasadr98
+author: John Snow Labs
+name: bert_base_uncased_finetuned_irony_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_irony_pipeline` is a English model originally trained by niktasadr98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_irony_pipeline_en_5.5.0_3.0_1726182061630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_irony_pipeline_en_5.5.0_3.0_1726182061630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_irony_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_irony_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_irony_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/niktasadr98/bert-base-uncased-finetuned-irony
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-cat_ner_xlmr_5_en.md b/docs/_posts/ahmedlone127/2024-09-12-cat_ner_xlmr_5_en.md
new file mode 100644
index 00000000000000..dc824657b55a02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-cat_ner_xlmr_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cat_ner_xlmr_5 XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_ner_xlmr_5
+date: 2024-09-12
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_ner_xlmr_5` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_ner_xlmr_5_en_5.5.0_3.0_1726131037607.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_ner_xlmr_5_en_5.5.0_3.0_1726131037607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coptic_english_norm_group_greekified|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|532.4 MB|
+
+## References
+
+https://huggingface.co/megalaa/cop-en-norm-group-greekified
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-deberta_v3_base_imdb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-deberta_v3_base_imdb_pipeline_en.md
new file mode 100644
index 00000000000000..ac4113c883443f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-deberta_v3_base_imdb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_base_imdb_pipeline pipeline DeBertaForSequenceClassification from dfurman
+author: John Snow Labs
+name: deberta_v3_base_imdb_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_base_imdb_pipeline` is a English model originally trained by dfurman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_base_imdb_pipeline_en_5.5.0_3.0_1726133088779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_base_imdb_pipeline_en_5.5.0_3.0_1726133088779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_base_imdb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_base_imdb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_base_imdb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|650.8 MB|
+
+## References
+
+https://huggingface.co/dfurman/deberta-v3-base-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-deberta_v3_large_llmmdlprefold_60k_20_09_2023_0_en.md b/docs/_posts/ahmedlone127/2024-09-12-deberta_v3_large_llmmdlprefold_60k_20_09_2023_0_en.md
new file mode 100644
index 00000000000000..f30e815e3a9fb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-deberta_v3_large_llmmdlprefold_60k_20_09_2023_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_large_llmmdlprefold_60k_20_09_2023_0 DeBertaForSequenceClassification from nagupv
+author: John Snow Labs
+name: deberta_v3_large_llmmdlprefold_60k_20_09_2023_0
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_llmmdlprefold_60k_20_09_2023_0` is a English model originally trained by nagupv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_llmmdlprefold_60k_20_09_2023_0_en_5.5.0_3.0_1726132626514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_llmmdlprefold_60k_20_09_2023_0_en_5.5.0_3.0_1726132626514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_hygn|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/hygn/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1_plprefix0stlarge_simsp300_en.md b/docs/_posts/ahmedlone127/2024-09-12-distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1_plprefix0stlarge_simsp300_en.md
new file mode 100644
index 00000000000000..a3559e2f51831c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1_plprefix0stlarge_simsp300_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1_plprefix0stlarge_simsp300 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1_plprefix0stlarge_simsp300
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1_plprefix0stlarge_simsp300` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1_plprefix0stlarge_simsp300_en_5.5.0_3.0_1726100245853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1_plprefix0stlarge_simsp300_en_5.5.0_3.0_1726100245853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_squad_tuna1283|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/tuna1283/distilbert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-distilbert_qa_mysquadv2_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-distilbert_qa_mysquadv2_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..e84e2b6838dbf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-distilbert_qa_mysquadv2_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_qa_mysquadv2_finetuned_squad_pipeline pipeline DistilBertForQuestionAnswering from threem
+author: John Snow Labs
+name: distilbert_qa_mysquadv2_finetuned_squad_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_mysquadv2_finetuned_squad_pipeline` is a English model originally trained by threem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_mysquadv2_finetuned_squad_pipeline_en_5.5.0_3.0_1726180401993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_mysquadv2_finetuned_squad_pipeline_en_5.5.0_3.0_1726180401993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_qa_mysquadv2_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_qa_mysquadv2_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_mysquadv2_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/threem/mysquadv2-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-emailclassifierclaude_en.md b/docs/_posts/ahmedlone127/2024-09-12-emailclassifierclaude_en.md
new file mode 100644
index 00000000000000..ba140781116242
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-emailclassifierclaude_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emailclassifierclaude BertForSequenceClassification from DFJordan
+author: John Snow Labs
+name: emailclassifierclaude
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emailclassifierclaude` is a English model originally trained by DFJordan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emailclassifierclaude_en_5.5.0_3.0_1726123662969.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emailclassifierclaude_en_5.5.0_3.0_1726123662969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gun_nlth_scratch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|219.6 MB|
+
+## References
+
+https://huggingface.co/tiagoblima/gun-nlth-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-helsinki_danish_swedish_v7_en.md b/docs/_posts/ahmedlone127/2024-09-12-helsinki_danish_swedish_v7_en.md
new file mode 100644
index 00000000000000..2db3e68c5f1e03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-helsinki_danish_swedish_v7_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English helsinki_danish_swedish_v7 MarianTransformer from Danieljacobsen
+author: John Snow Labs
+name: helsinki_danish_swedish_v7
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helsinki_danish_swedish_v7` is a English model originally trained by Danieljacobsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v7_en_5.5.0_3.0_1726125643096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v7_en_5.5.0_3.0_1726125643096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helsinki_danish_swedish_v7|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|497.4 MB|
+
+## References
+
+https://huggingface.co/Danieljacobsen/Helsinki-DA-SV-v7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-hw001_lostck_en.md b/docs/_posts/ahmedlone127/2024-09-12-hw001_lostck_en.md
new file mode 100644
index 00000000000000..d8ed2f5aa599e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-hw001_lostck_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hw001_lostck DistilBertForSequenceClassification from lostck
+author: John Snow Labs
+name: hw001_lostck
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw001_lostck` is a English model originally trained by lostck.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw001_lostck_en_5.5.0_3.0_1726124921424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw001_lostck_en_5.5.0_3.0_1726124921424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw001_lostck|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lostck/HW001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-indobert_lite_large_p2_smsa_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-12-indobert_lite_large_p2_smsa_pipeline_id.md
new file mode 100644
index 00000000000000..adffd7ff2f0bdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-indobert_lite_large_p2_smsa_pipeline_id.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Indonesian indobert_lite_large_p2_smsa_pipeline pipeline BertForSequenceClassification from tyqiangz
+author: John Snow Labs
+name: indobert_lite_large_p2_smsa_pipeline
+date: 2024-09-12
+tags: [id, open_source, pipeline, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_lite_large_p2_smsa_pipeline` is a Indonesian model originally trained by tyqiangz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_lite_large_p2_smsa_pipeline_id_5.5.0_3.0_1726182670614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_lite_large_p2_smsa_pipeline_id_5.5.0_3.0_1726182670614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indobert_lite_large_p2_smsa_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indobert_lite_large_p2_smsa_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_lite_large_p2_smsa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|66.6 MB|
+
+## References
+
+https://huggingface.co/tyqiangz/indobert-lite-large-p2-smsa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-interlingua_detection_deberta_v3_small_en.md b/docs/_posts/ahmedlone127/2024-09-12-interlingua_detection_deberta_v3_small_en.md
new file mode 100644
index 00000000000000..13e243f485012d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-interlingua_detection_deberta_v3_small_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English interlingua_detection_deberta_v3_small DeBertaForSequenceClassification from arincon
+author: John Snow Labs
+name: interlingua_detection_deberta_v3_small
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`interlingua_detection_deberta_v3_small` is a English model originally trained by arincon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/interlingua_detection_deberta_v3_small_en_5.5.0_3.0_1726132705143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/interlingua_detection_deberta_v3_small_en_5.5.0_3.0_1726132705143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|interlingua_detection_deberta_v3_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|470.9 MB|
+
+## References
+
+https://huggingface.co/arincon/ia-detection-deberta-v3-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-multilingual_ner_model_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-12-multilingual_ner_model_pipeline_xx.md
new file mode 100644
index 00000000000000..02b6e154b7c843
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-multilingual_ner_model_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual multilingual_ner_model_pipeline pipeline XlmRoBertaForTokenClassification from Sankalp-Bahad
+author: John Snow Labs
+name: multilingual_ner_model_pipeline
+date: 2024-09-12
+tags: [xx, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multilingual_ner_model_pipeline` is a Multilingual model originally trained by Sankalp-Bahad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multilingual_ner_model_pipeline_xx_5.5.0_3.0_1726160366559.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multilingual_ner_model_pipeline_xx_5.5.0_3.0_1726160366559.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multilingual_ner_model_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multilingual_ner_model_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multilingual_ner_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|794.6 MB|
+
+## References
+
+https://huggingface.co/Sankalp-Bahad/Multilingual-NER-Model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-roberta_base_webgpt_romansh_en.md b/docs/_posts/ahmedlone127/2024-09-12-roberta_base_webgpt_romansh_en.md
new file mode 100644
index 00000000000000..8fd5b4a9e42ffa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-roberta_base_webgpt_romansh_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_webgpt_romansh RoBertaForSequenceClassification from theblackcat102
+author: John Snow Labs
+name: roberta_base_webgpt_romansh
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_webgpt_romansh` is a English model originally trained by theblackcat102.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_webgpt_romansh_en_5.5.0_3.0_1726166264047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_webgpt_romansh_en_5.5.0_3.0_1726166264047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_neiltripleo3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/neiltripleo3/roberta-finetuned-subjqa-movies_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-roberta_large_few_shot_k_256_finetuned_squad_seed_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-roberta_large_few_shot_k_256_finetuned_squad_seed_2_pipeline_en.md
new file mode 100644
index 00000000000000..844581070f1cda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-roberta_large_few_shot_k_256_finetuned_squad_seed_2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_large_few_shot_k_256_finetuned_squad_seed_2_pipeline pipeline RoBertaForQuestionAnswering from anas-awadalla
+author: John Snow Labs
+name: roberta_large_few_shot_k_256_finetuned_squad_seed_2_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_few_shot_k_256_finetuned_squad_seed_2_pipeline` is a English model originally trained by anas-awadalla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_few_shot_k_256_finetuned_squad_seed_2_pipeline_en_5.5.0_3.0_1726176479645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_few_shot_k_256_finetuned_squad_seed_2_pipeline_en_5.5.0_3.0_1726176479645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_few_shot_k_256_finetuned_squad_seed_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_few_shot_k_256_finetuned_squad_seed_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_few_shot_k_256_finetuned_squad_seed_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/anas-awadalla/roberta-large-few-shot-k-256-finetuned-squad-seed-2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-roberta_large_finetuned_squad_seymacakir_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-roberta_large_finetuned_squad_seymacakir_pipeline_en.md
new file mode 100644
index 00000000000000..eb38b423d1af9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-roberta_large_finetuned_squad_seymacakir_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_large_finetuned_squad_seymacakir_pipeline pipeline RoBertaForQuestionAnswering from SeymaCakir
+author: John Snow Labs
+name: roberta_large_finetuned_squad_seymacakir_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_squad_seymacakir_pipeline` is a English model originally trained by SeymaCakir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_squad_seymacakir_pipeline_en_5.5.0_3.0_1726176431089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_squad_seymacakir_pipeline_en_5.5.0_3.0_1726176431089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_finetuned_squad_seymacakir_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_finetuned_squad_seymacakir_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_squad_seymacakir_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/SeymaCakir/roberta-large-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-roberta_ner_spaceroberta_cree_en.md b/docs/_posts/ahmedlone127/2024-09-12-roberta_ner_spaceroberta_cree_en.md
new file mode 100644
index 00000000000000..c88ef2ff199b05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-roberta_ner_spaceroberta_cree_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_ner_spaceroberta_cree RoBertaForTokenClassification from icelab
+author: John Snow Labs
+name: roberta_ner_spaceroberta_cree
+date: 2024-09-12
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_ner_spaceroberta_cree` is a English model originally trained by icelab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_ner_spaceroberta_cree_en_5.5.0_3.0_1726142002487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_ner_spaceroberta_cree_en_5.5.0_3.0_1726142002487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|second_try|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|463.6 MB|
+
+## References
+
+https://huggingface.co/Jose-Ribeir/second_try
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-sqlcoder_7b_2_arabicsqlv6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-sqlcoder_7b_2_arabicsqlv6_pipeline_en.md
new file mode 100644
index 00000000000000..ffffffdd66e3b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-sqlcoder_7b_2_arabicsqlv6_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English sqlcoder_7b_2_arabicsqlv6_pipeline pipeline T5Transformer from ahmedheakl
+author: John Snow Labs
+name: sqlcoder_7b_2_arabicsqlv6_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: [Question Answering, Summarization, Translation, Text Generation]
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sqlcoder_7b_2_arabicsqlv6_pipeline` is a English model originally trained by ahmedheakl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sqlcoder_7b_2_arabicsqlv6_pipeline_en_5.5.0_3.0_1726145793170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sqlcoder_7b_2_arabicsqlv6_pipeline_en_5.5.0_3.0_1726145793170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sqlcoder_7b_2_arabicsqlv6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sqlcoder_7b_2_arabicsqlv6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sqlcoder_7b_2_arabicsqlv6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|179.0 MB|
+
+## References
+
+https://huggingface.co/ahmedheakl/sqlcoder-7b-2-ArabicSQLV6
+
+## Included Models
+
+- DocumentAssembler
+- T5Transformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-twitter_roberta_base_tempo_wic_latest_en.md b/docs/_posts/ahmedlone127/2024-09-12-twitter_roberta_base_tempo_wic_latest_en.md
new file mode 100644
index 00000000000000..fe16dd1879c5a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-twitter_roberta_base_tempo_wic_latest_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base_tempo_wic_latest RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_tempo_wic_latest
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_tempo_wic_latest` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_tempo_wic_latest_en_5.5.0_3.0_1726166063907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_tempo_wic_latest_en_5.5.0_3.0_1726166063907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_wolof_serge_wilson|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/serge-wilson/whisper-small-wolof
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-albert_hatespeech_classifier1_en.md b/docs/_posts/ahmedlone127/2024-09-13-albert_hatespeech_classifier1_en.md
new file mode 100644
index 00000000000000..b5c87082caf0e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-albert_hatespeech_classifier1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_hatespeech_classifier1 AlbertForSequenceClassification from samuelcolvin26
+author: John Snow Labs
+name: albert_hatespeech_classifier1
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_hatespeech_classifier1` is a English model originally trained by samuelcolvin26.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_hatespeech_classifier1_en_5.5.0_3.0_1726234626376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_hatespeech_classifier1_en_5.5.0_3.0_1726234626376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_hatespeech_classifier1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/samuelcolvin26/Albert_Hatespeech_Classifier1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-alpha_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-alpha_bert_pipeline_en.md
new file mode 100644
index 00000000000000..fda8a9c04a44f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-alpha_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English alpha_bert_pipeline pipeline BertForSequenceClassification from Luciferalive
+author: John Snow Labs
+name: alpha_bert_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alpha_bert_pipeline` is a English model originally trained by Luciferalive.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alpha_bert_pipeline_en_5.5.0_3.0_1726201313786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alpha_bert_pipeline_en_5.5.0_3.0_1726201313786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("alpha_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("alpha_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alpha_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Luciferalive/Alpha_Bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-babyberta_childes_0_1_finetuned_qasrl_en.md b/docs/_posts/ahmedlone127/2024-09-13-babyberta_childes_0_1_finetuned_qasrl_en.md
new file mode 100644
index 00000000000000..c73a60cd5c1938
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-babyberta_childes_0_1_finetuned_qasrl_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_childes_0_1_finetuned_qasrl RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_childes_0_1_finetuned_qasrl
+date: 2024-09-13
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_childes_0_1_finetuned_qasrl` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_childes_0_1_finetuned_qasrl_en_5.5.0_3.0_1726198853177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_childes_0_1_finetuned_qasrl_en_5.5.0_3.0_1726198853177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_french_aochildes_2_5m_masking_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-french_aochildes_2.5M-Masking-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-bert_finetuned_squad_elshamysamira_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-bert_finetuned_squad_elshamysamira_pipeline_en.md
new file mode 100644
index 00000000000000..b943eb260d9762
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-bert_finetuned_squad_elshamysamira_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_finetuned_squad_elshamysamira_pipeline pipeline DistilBertForQuestionAnswering from Elshamysamira
+author: John Snow Labs
+name: bert_finetuned_squad_elshamysamira_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_squad_elshamysamira_pipeline` is a English model originally trained by Elshamysamira.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_elshamysamira_pipeline_en_5.5.0_3.0_1726244975512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_elshamysamira_pipeline_en_5.5.0_3.0_1726244975512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_squad_elshamysamira_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_squad_elshamysamira_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_squad_elshamysamira_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Elshamysamira/bert-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-bert_large_uncased_sst2_en.md b/docs/_posts/ahmedlone127/2024-09-13-bert_large_uncased_sst2_en.md
new file mode 100644
index 00000000000000..2008ab130e671e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-bert_large_uncased_sst2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_uncased_sst2 BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_large_uncased_sst2
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_sst2` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_sst2_en_5.5.0_3.0_1726201401701.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_sst2_en_5.5.0_3.0_1726201401701.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_sst2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-large-uncased-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-bert_question_answering_dutch_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-bert_question_answering_dutch_pipeline_en.md
new file mode 100644
index 00000000000000..199907aab741fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-bert_question_answering_dutch_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_question_answering_dutch_pipeline pipeline BertForQuestionAnswering from Michelvh
+author: John Snow Labs
+name: bert_question_answering_dutch_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_question_answering_dutch_pipeline` is a English model originally trained by Michelvh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_question_answering_dutch_pipeline_en_5.5.0_3.0_1726210099491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_question_answering_dutch_pipeline_en_5.5.0_3.0_1726210099491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_question_answering_dutch_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_question_answering_dutch_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_question_answering_dutch_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Michelvh/bert-question-answering-dutch
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_adityarao1612_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_adityarao1612_pipeline_en.md
new file mode 100644
index 00000000000000..fc9a4c0343b6a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_adityarao1612_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_adityarao1612_pipeline pipeline DistilBertForQuestionAnswering from adityarao1612
+author: John Snow Labs
+name: burmese_awesome_qa_model_adityarao1612_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_adityarao1612_pipeline` is a English model originally trained by adityarao1612.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_adityarao1612_pipeline_en_5.5.0_3.0_1726244975507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_adityarao1612_pipeline_en_5.5.0_3.0_1726244975507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_adityarao1612_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_adityarao1612_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_adityarao1612_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/adityarao1612/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-codebertvar_czech_10pc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-codebertvar_czech_10pc_pipeline_en.md
new file mode 100644
index 00000000000000..067f99a1afb74c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-codebertvar_czech_10pc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English codebertvar_czech_10pc_pipeline pipeline RoBertaEmbeddings from gnathoi
+author: John Snow Labs
+name: codebertvar_czech_10pc_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`codebertvar_czech_10pc_pipeline` is a English model originally trained by gnathoi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codebertvar_czech_10pc_pipeline_en_5.5.0_3.0_1726197488366.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codebertvar_czech_10pc_pipeline_en_5.5.0_3.0_1726197488366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("codebertvar_czech_10pc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("codebertvar_czech_10pc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codebertvar_czech_10pc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/gnathoi/CodeBERTvar_CS_10pc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_abdelwahab201_en.md b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_abdelwahab201_en.md
new file mode 100644
index 00000000000000..a97e394fa80b12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_abdelwahab201_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_abdelwahab201 DistilBertForSequenceClassification from Abdelwahab201
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_abdelwahab201
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_abdelwahab201` is a English model originally trained by Abdelwahab201.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_abdelwahab201_en_5.5.0_3.0_1726262458021.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_abdelwahab201_en_5.5.0_3.0_1726262458021.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_rishisuresh|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/rishisuresh/distilbert-base-uncased-finetuned-squad-d5716d28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilbert_cased_reviews_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-distilbert_cased_reviews_v1_pipeline_en.md
new file mode 100644
index 00000000000000..32142854780e14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilbert_cased_reviews_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_cased_reviews_v1_pipeline pipeline DistilBertForSequenceClassification from Asteriks
+author: John Snow Labs
+name: distilbert_cased_reviews_v1_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_cased_reviews_v1_pipeline` is a English model originally trained by Asteriks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_cased_reviews_v1_pipeline_en_5.5.0_3.0_1726242786216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_cased_reviews_v1_pipeline_en_5.5.0_3.0_1726242786216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_cased_reviews_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_cased_reviews_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_cased_reviews_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.1 MB|
+
+## References
+
+https://huggingface.co/Asteriks/distilbert-cased-reviews-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-final_project_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-final_project_pipeline_en.md
new file mode 100644
index 00000000000000..d66b6309a3e511
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-final_project_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English final_project_pipeline pipeline MarianTransformer from Cosmosplendor
+author: John Snow Labs
+name: final_project_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`final_project_pipeline` is a English model originally trained by Cosmosplendor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_project_pipeline_en_5.5.0_3.0_1726191898679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_project_pipeline_en_5.5.0_3.0_1726191898679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("final_project_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("final_project_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|final_project_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.2 MB|
+
+## References
+
+https://huggingface.co/Cosmosplendor/final-project
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-fine_tuned_distilbert_base_uncased_beehzod_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-fine_tuned_distilbert_base_uncased_beehzod_pipeline_en.md
new file mode 100644
index 00000000000000..53bcf07e76911e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-fine_tuned_distilbert_base_uncased_beehzod_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tuned_distilbert_base_uncased_beehzod_pipeline pipeline DistilBertForSequenceClassification from Beehzod
+author: John Snow Labs
+name: fine_tuned_distilbert_base_uncased_beehzod_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_distilbert_base_uncased_beehzod_pipeline` is a English model originally trained by Beehzod.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_base_uncased_beehzod_pipeline_en_5.5.0_3.0_1726262139322.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_base_uncased_beehzod_pipeline_en_5.5.0_3.0_1726262139322.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_distilbert_base_uncased_beehzod_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_distilbert_base_uncased_beehzod_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_distilbert_base_uncased_beehzod_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Beehzod/fine_tuned_distilbert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-jan24_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-jan24_pipeline_en.md
new file mode 100644
index 00000000000000..4d4210326e5154
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-jan24_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English jan24_pipeline pipeline DistilBertForSequenceClassification from beefy314
+author: John Snow Labs
+name: jan24_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jan24_pipeline` is a English model originally trained by beefy314.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jan24_pipeline_en_5.5.0_3.0_1726262253131.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jan24_pipeline_en_5.5.0_3.0_1726262253131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("jan24_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("jan24_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jan24_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/beefy314/jan24
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-legal_swiss_roberta_large_de.md b/docs/_posts/ahmedlone127/2024-09-13-legal_swiss_roberta_large_de.md
new file mode 100644
index 00000000000000..29da219548af94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-legal_swiss_roberta_large_de.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: German legal_swiss_roberta_large RoBertaEmbeddings from joelniklaus
+author: John Snow Labs
+name: legal_swiss_roberta_large
+date: 2024-09-13
+tags: [de, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_swiss_roberta_large` is a German model originally trained by joelniklaus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_swiss_roberta_large_de_5.5.0_3.0_1726185810544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_swiss_roberta_large_de_5.5.0_3.0_1726185810544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_swiss_roberta_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|de|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/joelniklaus/legal-swiss-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-mdeberta_v3_base_on_custom_kural_500_bikram22pi7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-mdeberta_v3_base_on_custom_kural_500_bikram22pi7_pipeline_en.md
new file mode 100644
index 00000000000000..f323c7a7d158ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-mdeberta_v3_base_on_custom_kural_500_bikram22pi7_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mdeberta_v3_base_on_custom_kural_500_bikram22pi7_pipeline pipeline DeBertaForSequenceClassification from bikram22pi7
+author: John Snow Labs
+name: mdeberta_v3_base_on_custom_kural_500_bikram22pi7_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mdeberta_v3_base_on_custom_kural_500_bikram22pi7_pipeline` is a English model originally trained by bikram22pi7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_on_custom_kural_500_bikram22pi7_pipeline_en_5.5.0_3.0_1726244165616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_on_custom_kural_500_bikram22pi7_pipeline_en_5.5.0_3.0_1726244165616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mdeberta_v3_base_on_custom_kural_500_bikram22pi7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mdeberta_v3_base_on_custom_kural_500_bikram22pi7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mdeberta_v3_base_on_custom_kural_500_bikram22pi7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|779.9 MB|
+
+## References
+
+https://huggingface.co/bikram22pi7/mdeberta-v3-base-on-custom-kural-500
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-mnli_6x9n_var33_9_en.md b/docs/_posts/ahmedlone127/2024-09-13-mnli_6x9n_var33_9_en.md
new file mode 100644
index 00000000000000..5f386bab2b5393
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-mnli_6x9n_var33_9_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mnli_6x9n_var33_9 RoBertaEmbeddings from mahdiyar
+author: John Snow Labs
+name: mnli_6x9n_var33_9
+date: 2024-09-13
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mnli_6x9n_var33_9` is a English model originally trained by mahdiyar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mnli_6x9n_var33_9_en_5.5.0_3.0_1726197777162.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mnli_6x9n_var33_9_en_5.5.0_3.0_1726197777162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mnli_6x9n_var33_9|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|460.3 MB|
+
+## References
+
+https://huggingface.co/mahdiyar/mnli-6x9N-var33-9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sasuke_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sasuke_pipeline_en.md
new file mode 100644
index 00000000000000..b0aae3d77fe392
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sasuke_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sasuke_pipeline pipeline MarianTransformer from sasuke
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sasuke_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sasuke_pipeline` is a English model originally trained by sasuke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sasuke_pipeline_en_5.5.0_3.0_1726192214708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sasuke_pipeline_en_5.5.0_3.0_1726192214708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sasuke_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sasuke_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sasuke_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/sasuke/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-output_htm_2_fpdm_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-output_htm_2_fpdm_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..298716d34bf39a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-output_htm_2_fpdm_roberta_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English output_htm_2_fpdm_roberta_pipeline pipeline RoBertaForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: output_htm_2_fpdm_roberta_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`output_htm_2_fpdm_roberta_pipeline` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_htm_2_fpdm_roberta_pipeline_en_5.5.0_3.0_1726198708718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_htm_2_fpdm_roberta_pipeline_en_5.5.0_3.0_1726198708718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("output_htm_2_fpdm_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("output_htm_2_fpdm_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output_htm_2_fpdm_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|459.7 MB|
+
+## References
+
+https://huggingface.co/AnonymousSub/output_HTM_2_FPDM_roberta
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-output_mask_two_steps_pretraining_plus_contr_roberta_model_from_pretrained_large_epochs_1_en.md b/docs/_posts/ahmedlone127/2024-09-13-output_mask_two_steps_pretraining_plus_contr_roberta_model_from_pretrained_large_epochs_1_en.md
new file mode 100644
index 00000000000000..53d6ce3abf57aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-output_mask_two_steps_pretraining_plus_contr_roberta_model_from_pretrained_large_epochs_1_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English output_mask_two_steps_pretraining_plus_contr_roberta_model_from_pretrained_large_epochs_1 RoBertaForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: output_mask_two_steps_pretraining_plus_contr_roberta_model_from_pretrained_large_epochs_1
+date: 2024-09-13
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`output_mask_two_steps_pretraining_plus_contr_roberta_model_from_pretrained_large_epochs_1` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_mask_two_steps_pretraining_plus_contr_roberta_model_from_pretrained_large_epochs_1_en_5.5.0_3.0_1726232163285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_mask_two_steps_pretraining_plus_contr_roberta_model_from_pretrained_large_epochs_1_en_5.5.0_3.0_1726232163285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output_mask_two_steps_pretraining_plus_contr_roberta_model_from_pretrained_large_epochs_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/AnonymousSub/output_mask_TWO_STEPS_pretraining_plus_contr_roberta_model_from_pretrained_LARGE_EPOCHS_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-qqp_microsoft_deberta_v3_base_seed_2_en.md b/docs/_posts/ahmedlone127/2024-09-13-qqp_microsoft_deberta_v3_base_seed_2_en.md
new file mode 100644
index 00000000000000..b036d4805495c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-qqp_microsoft_deberta_v3_base_seed_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English qqp_microsoft_deberta_v3_base_seed_2 DeBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: qqp_microsoft_deberta_v3_base_seed_2
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qqp_microsoft_deberta_v3_base_seed_2` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qqp_microsoft_deberta_v3_base_seed_2_en_5.5.0_3.0_1726189670386.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qqp_microsoft_deberta_v3_base_seed_2_en_5.5.0_3.0_1726189670386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qqp_microsoft_deberta_v3_base_seed_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|648.9 MB|
+
+## References
+
+https://huggingface.co/utahnlp/qqp_microsoft_deberta-v3-base_seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-roberta_base_finetuned_vedantgaur_ai_and_human_generated_en.md b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_finetuned_vedantgaur_ai_and_human_generated_en.md
new file mode 100644
index 00000000000000..df00fdf2bfd3f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_finetuned_vedantgaur_ai_and_human_generated_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_vedantgaur_ai_and_human_generated RoBertaForSequenceClassification from SkwarczynskiP
+author: John Snow Labs
+name: roberta_base_finetuned_vedantgaur_ai_and_human_generated
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_vedantgaur_ai_and_human_generated` is a English model originally trained by SkwarczynskiP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_vedantgaur_ai_and_human_generated_en_5.5.0_3.0_1726227693656.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_vedantgaur_ai_and_human_generated_en_5.5.0_3.0_1726227693656.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_nlb_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|463.5 MB|
+
+## References
+
+https://huggingface.co/SpeedaRJ/roberta-base-nlb-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-roberta_base_squad2_cheng028_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_squad2_cheng028_pipeline_en.md
new file mode 100644
index 00000000000000..b1f9ed531d8cf6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_squad2_cheng028_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_base_squad2_cheng028_pipeline pipeline RoBertaForQuestionAnswering from CHENG028
+author: John Snow Labs
+name: roberta_base_squad2_cheng028_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_squad2_cheng028_pipeline` is a English model originally trained by CHENG028.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_squad2_cheng028_pipeline_en_5.5.0_3.0_1726198859804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_squad2_cheng028_pipeline_en_5.5.0_3.0_1726198859804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_squad2_cheng028_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_squad2_cheng028_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_squad2_cheng028_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.9 MB|
+
+## References
+
+https://huggingface.co/CHENG028/roberta-base-squad2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-roberta_finetuned_subjqa_movies_2_vijayaphani5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-roberta_finetuned_subjqa_movies_2_vijayaphani5_pipeline_en.md
new file mode 100644
index 00000000000000..afe8c394e5cc6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-roberta_finetuned_subjqa_movies_2_vijayaphani5_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_vijayaphani5_pipeline pipeline RoBertaForQuestionAnswering from vijayaphani5
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_vijayaphani5_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_vijayaphani5_pipeline` is a English model originally trained by vijayaphani5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_vijayaphani5_pipeline_en_5.5.0_3.0_1726207100228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_vijayaphani5_pipeline_en_5.5.0_3.0_1726207100228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_subjqa_movies_2_vijayaphani5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_movies_2_vijayaphani5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_vijayaphani5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/vijayaphani5/roberta-finetuned-subjqa-movies_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-sample_distilbert_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-sample_distilbert_model_pipeline_en.md
new file mode 100644
index 00000000000000..72f82336809d78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-sample_distilbert_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sample_distilbert_model_pipeline pipeline DistilBertForSequenceClassification from guru06
+author: John Snow Labs
+name: sample_distilbert_model_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sample_distilbert_model_pipeline` is a English model originally trained by guru06.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sample_distilbert_model_pipeline_en_5.5.0_3.0_1726242664537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sample_distilbert_model_pipeline_en_5.5.0_3.0_1726242664537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sample_distilbert_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sample_distilbert_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sample_distilbert_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/guru06/sample-distilbert-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-sentiment_sentiment_small_random1_seed0_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-sentiment_sentiment_small_random1_seed0_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..643a30711edb1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-sentiment_sentiment_small_random1_seed0_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random1_seed0_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random1_seed0_bernice_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random1_seed0_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random1_seed0_bernice_pipeline_en_5.5.0_3.0_1726259303527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random1_seed0_bernice_pipeline_en_5.5.0_3.0_1726259303527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_sentiment_small_random1_seed0_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_sentiment_small_random1_seed0_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_random1_seed0_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|790.2 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_random1_seed0-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-somd_train_xlm_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-somd_train_xlm_v3_pipeline_en.md
new file mode 100644
index 00000000000000..a2a2862e580f45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-somd_train_xlm_v3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English somd_train_xlm_v3_pipeline pipeline XlmRoBertaForTokenClassification from ThuyNT03
+author: John Snow Labs
+name: somd_train_xlm_v3_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`somd_train_xlm_v3_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/somd_train_xlm_v3_pipeline_en_5.5.0_3.0_1726215944932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/somd_train_xlm_v3_pipeline_en_5.5.0_3.0_1726215944932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("somd_train_xlm_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("somd_train_xlm_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|somd_train_xlm_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|797.7 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/SOMD-train-xlm-v3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-test1_yuenorawang_en.md b/docs/_posts/ahmedlone127/2024-09-13-test1_yuenorawang_en.md
new file mode 100644
index 00000000000000..3ab4e61ce0aa75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-test1_yuenorawang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test1_yuenorawang DistilBertForSequenceClassification from YueNoraWang
+author: John Snow Labs
+name: test1_yuenorawang
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test1_yuenorawang` is a English model originally trained by YueNoraWang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test1_yuenorawang_en_5.5.0_3.0_1726262551386.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test1_yuenorawang_en_5.5.0_3.0_1726262551386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test1_yuenorawang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/YueNoraWang/test1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-twitter_roberta_base_hate_latest_southern_sotho_en.md b/docs/_posts/ahmedlone127/2024-09-13-twitter_roberta_base_hate_latest_southern_sotho_en.md
new file mode 100644
index 00000000000000..6733740c4d0ada
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-twitter_roberta_base_hate_latest_southern_sotho_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base_hate_latest_southern_sotho RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_hate_latest_southern_sotho
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_hate_latest_southern_sotho` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_hate_latest_southern_sotho_en_5.5.0_3.0_1726248046360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_hate_latest_southern_sotho_en_5.5.0_3.0_1726248046360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_cantonese_oblivion208|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Oblivion208/whisper-small-cantonese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_trimmed_french_15000_xnli_french_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_trimmed_french_15000_xnli_french_pipeline_en.md
new file mode 100644
index 00000000000000..e19ec0be282c0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_trimmed_french_15000_xnli_french_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_french_15000_xnli_french_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_french_15000_xnli_french_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_french_15000_xnli_french_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_french_15000_xnli_french_pipeline_en_5.5.0_3.0_1726258817198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_french_15000_xnli_french_pipeline_en_5.5.0_3.0_1726258817198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_trimmed_french_15000_xnli_french_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_trimmed_french_15000_xnli_french_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_french_15000_xnli_french_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|367.2 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-fr-15000-xnli-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_v_base_xnli_arabic_trimmed_arabic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_v_base_xnli_arabic_trimmed_arabic_pipeline_en.md
new file mode 100644
index 00000000000000..854a66c7713ab2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_v_base_xnli_arabic_trimmed_arabic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_v_base_xnli_arabic_trimmed_arabic_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_v_base_xnli_arabic_trimmed_arabic_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_v_base_xnli_arabic_trimmed_arabic_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_v_base_xnli_arabic_trimmed_arabic_pipeline_en_5.5.0_3.0_1726258587084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_v_base_xnli_arabic_trimmed_arabic_pipeline_en_5.5.0_3.0_1726258587084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_v_base_xnli_arabic_trimmed_arabic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_v_base_xnli_arabic_trimmed_arabic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_v_base_xnli_arabic_trimmed_arabic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|527.4 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-v-base-xnli-ar-trimmed-ar
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-albert_large_v2_finetuned_mrpc_vitaliivrublevskyi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-albert_large_v2_finetuned_mrpc_vitaliivrublevskyi_pipeline_en.md
new file mode 100644
index 00000000000000..e6d8f43e2c4fd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-albert_large_v2_finetuned_mrpc_vitaliivrublevskyi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_large_v2_finetuned_mrpc_vitaliivrublevskyi_pipeline pipeline AlbertForSequenceClassification from VitaliiVrublevskyi
+author: John Snow Labs
+name: albert_large_v2_finetuned_mrpc_vitaliivrublevskyi_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_large_v2_finetuned_mrpc_vitaliivrublevskyi_pipeline` is a English model originally trained by VitaliiVrublevskyi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_large_v2_finetuned_mrpc_vitaliivrublevskyi_pipeline_en_5.5.0_3.0_1726308572123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_large_v2_finetuned_mrpc_vitaliivrublevskyi_pipeline_en_5.5.0_3.0_1726308572123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_large_v2_finetuned_mrpc_vitaliivrublevskyi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_large_v2_finetuned_mrpc_vitaliivrublevskyi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_large_v2_finetuned_mrpc_vitaliivrublevskyi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|66.7 MB|
+
+## References
+
+https://huggingface.co/VitaliiVrublevskyi/albert-large-v2-finetuned-mrpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-alvaro_marian_finetuned_italian_norwegian_bokml_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-alvaro_marian_finetuned_italian_norwegian_bokml_pipeline_en.md
new file mode 100644
index 00000000000000..16ac3e6969eac9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-alvaro_marian_finetuned_italian_norwegian_bokml_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English alvaro_marian_finetuned_italian_norwegian_bokml_pipeline pipeline MarianTransformer from Rooshan
+author: John Snow Labs
+name: alvaro_marian_finetuned_italian_norwegian_bokml_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alvaro_marian_finetuned_italian_norwegian_bokml_pipeline` is a English model originally trained by Rooshan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alvaro_marian_finetuned_italian_norwegian_bokml_pipeline_en_5.5.0_3.0_1726350740271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alvaro_marian_finetuned_italian_norwegian_bokml_pipeline_en_5.5.0_3.0_1726350740271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("alvaro_marian_finetuned_italian_norwegian_bokml_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("alvaro_marian_finetuned_italian_norwegian_bokml_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alvaro_marian_finetuned_italian_norwegian_bokml_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.0 MB|
+
+## References
+
+https://huggingface.co/Rooshan/Alvaro-marian_finetuned_it_nb
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-arabic_speech_result_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-14-arabic_speech_result_pipeline_ar.md
new file mode 100644
index 00000000000000..f74a3f17148049
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-arabic_speech_result_pipeline_ar.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Arabic arabic_speech_result_pipeline pipeline WhisperForCTC from Ibrhm-S
+author: John Snow Labs
+name: arabic_speech_result_pipeline
+date: 2024-09-14
+tags: [ar, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arabic_speech_result_pipeline` is a Arabic model originally trained by Ibrhm-S.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabic_speech_result_pipeline_ar_5.5.0_3.0_1726324747908.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabic_speech_result_pipeline_ar_5.5.0_3.0_1726324747908.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arabic_speech_result_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arabic_speech_result_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabic_speech_result_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Ibrhm-S/arabic-speech-result
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-bert_base_uncased_ner_conll2003_andi611_en.md b/docs/_posts/ahmedlone127/2024-09-14-bert_base_uncased_ner_conll2003_andi611_en.md
new file mode 100644
index 00000000000000..8e77e350131cc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-bert_base_uncased_ner_conll2003_andi611_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_ner_conll2003_andi611 BertForTokenClassification from andi611
+author: John Snow Labs
+name: bert_base_uncased_ner_conll2003_andi611
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ner_conll2003_andi611` is a English model originally trained by andi611.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ner_conll2003_andi611_en_5.5.0_3.0_1726306205912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ner_conll2003_andi611_en_5.5.0_3.0_1726306205912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ner_conll2003_andi611|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/andi611/bert-base-uncased-ner-conll2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_eli5_mlm_model_ryanlcf_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_eli5_mlm_model_ryanlcf_pipeline_en.md
new file mode 100644
index 00000000000000..4c9ccace0b0355
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_eli5_mlm_model_ryanlcf_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_ryanlcf_pipeline pipeline RoBertaEmbeddings from ryanlcf
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_ryanlcf_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_ryanlcf_pipeline` is a English model originally trained by ryanlcf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_ryanlcf_pipeline_en_5.5.0_3.0_1726300194113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_ryanlcf_pipeline_en_5.5.0_3.0_1726300194113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_ryanlcf_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_ryanlcf_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_ryanlcf_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/ryanlcf/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_qa_model_ai_bled_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_qa_model_ai_bled_pipeline_en.md
new file mode 100644
index 00000000000000..fdef81b8d76425
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_qa_model_ai_bled_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_ai_bled_pipeline pipeline DistilBertForQuestionAnswering from ai-bled
+author: John Snow Labs
+name: burmese_awesome_qa_model_ai_bled_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_ai_bled_pipeline` is a English model originally trained by ai-bled.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ai_bled_pipeline_en_5.5.0_3.0_1726335941906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ai_bled_pipeline_en_5.5.0_3.0_1726335941906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_ai_bled_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_ai_bled_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_ai_bled_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ai-bled/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-cat_sayula_popoluca_xlmr_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-cat_sayula_popoluca_xlmr_2_pipeline_en.md
new file mode 100644
index 00000000000000..e6d071dcbc33b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-cat_sayula_popoluca_xlmr_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cat_sayula_popoluca_xlmr_2_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_sayula_popoluca_xlmr_2_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_sayula_popoluca_xlmr_2_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_xlmr_2_pipeline_en_5.5.0_3.0_1726292299613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_xlmr_2_pipeline_en_5.5.0_3.0_1726292299613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cat_sayula_popoluca_xlmr_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cat_sayula_popoluca_xlmr_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_sayula_popoluca_xlmr_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|815.9 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-pos-xlmr-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-cylbert_en.md b/docs/_posts/ahmedlone127/2024-09-14-cylbert_en.md
new file mode 100644
index 00000000000000..363adb46469e36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-cylbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cylbert RoBertaEmbeddings from mstaron
+author: John Snow Labs
+name: cylbert
+date: 2024-09-14
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cylbert` is a English model originally trained by mstaron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cylbert_en_5.5.0_3.0_1726338717143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cylbert_en_5.5.0_3.0_1726338717143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_janeel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/janeel/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-en2zh20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-en2zh20_pipeline_en.md
new file mode 100644
index 00000000000000..47037c26a4254a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-en2zh20_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English en2zh20_pipeline pipeline MarianTransformer from Carlosino
+author: John Snow Labs
+name: en2zh20_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`en2zh20_pipeline` is a English model originally trained by Carlosino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/en2zh20_pipeline_en_5.5.0_3.0_1726350738572.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/en2zh20_pipeline_en_5.5.0_3.0_1726350738572.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("en2zh20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("en2zh20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|en2zh20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.5 MB|
+
+## References
+
+https://huggingface.co/Carlosino/en2zh20
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-esperberto_abdulhade_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-esperberto_abdulhade_pipeline_en.md
new file mode 100644
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+---
+layout: model
+title: English esperberto_abdulhade_pipeline pipeline RoBertaEmbeddings from abdulhade
+author: John Snow Labs
+name: esperberto_abdulhade_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`esperberto_abdulhade_pipeline` is a English model originally trained by abdulhade.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esperberto_abdulhade_pipeline_en_5.5.0_3.0_1726338018697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esperberto_abdulhade_pipeline_en_5.5.0_3.0_1726338018697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("esperberto_abdulhade_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("esperberto_abdulhade_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esperberto_abdulhade_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|310.2 MB|
+
+## References
+
+https://huggingface.co/abdulhade/EsperBERTo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-exp1_pipeline_sk.md b/docs/_posts/ahmedlone127/2024-09-14-exp1_pipeline_sk.md
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+---
+layout: model
+title: Slovak exp1_pipeline pipeline RoBertaEmbeddings from crabz
+author: John Snow Labs
+name: exp1_pipeline
+date: 2024-09-14
+tags: [sk, open_source, pipeline, onnx]
+task: Embeddings
+language: sk
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`exp1_pipeline` is a Slovak model originally trained by crabz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/exp1_pipeline_sk_5.5.0_3.0_1726338018807.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/exp1_pipeline_sk_5.5.0_3.0_1726338018807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("exp1_pipeline", lang = "sk")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("exp1_pipeline", lang = "sk")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|exp1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sk|
+|Size:|305.7 MB|
+
+## References
+
+https://huggingface.co/crabz/exp1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-finetuned_twitter_sentiment_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-14-finetuned_twitter_sentiment_roberta_en.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-finetuned_twitter_sentiment_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_twitter_sentiment_roberta XlmRoBertaForSequenceClassification from coderSounak
+author: John Snow Labs
+name: finetuned_twitter_sentiment_roberta
+date: 2024-09-14
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_twitter_sentiment_roberta` is a English model originally trained by coderSounak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_twitter_sentiment_roberta_en_5.5.0_3.0_1726318083531.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_twitter_sentiment_roberta_en_5.5.0_3.0_1726318083531.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_twitter_sentiment_roberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/coderSounak/finetuned_twitter_sentiment_roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-french_mina_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-french_mina_pipeline_en.md
new file mode 100644
index 00000000000000..4e4a482275d83e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-french_mina_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English french_mina_pipeline pipeline MarianTransformer from Ronaldodev
+author: John Snow Labs
+name: french_mina_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`french_mina_pipeline` is a English model originally trained by Ronaldodev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/french_mina_pipeline_en_5.5.0_3.0_1726351107400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/french_mina_pipeline_en_5.5.0_3.0_1726351107400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("french_mina_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("french_mina_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|french_mina_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.9 MB|
+
+## References
+
+https://huggingface.co/Ronaldodev/fr-mina
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-gekkochat_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-gekkochat_pipeline_en.md
new file mode 100644
index 00000000000000..5e1783d2f1fc61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-gekkochat_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English gekkochat_pipeline pipeline BertForQuestionAnswering from yeorem
+author: John Snow Labs
+name: gekkochat_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gekkochat_pipeline` is a English model originally trained by yeorem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gekkochat_pipeline_en_5.5.0_3.0_1726327105835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gekkochat_pipeline_en_5.5.0_3.0_1726327105835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gekkochat_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gekkochat_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gekkochat_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/yeorem/gekkochat
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-lab1_finetuning_minhngca_en.md b/docs/_posts/ahmedlone127/2024-09-14-lab1_finetuning_minhngca_en.md
new file mode 100644
index 00000000000000..8693551ef05428
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-lab1_finetuning_minhngca_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lab1_finetuning_minhngca MarianTransformer from minhngca
+author: John Snow Labs
+name: lab1_finetuning_minhngca
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab1_finetuning_minhngca` is a English model originally trained by minhngca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_finetuning_minhngca_en_5.5.0_3.0_1726351093383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_finetuning_minhngca_en_5.5.0_3.0_1726351093383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_marh_val_f2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|mr|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/simran14/mr-val-f2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_pipeline_en.md
new file mode 100644
index 00000000000000..89ae47086be1df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_pipeline pipeline MarianTransformer from huggingface-course
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_pipeline` is a English model originally trained by huggingface-course.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_pipeline_en_5.5.0_3.0_1726350576022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_pipeline_en_5.5.0_3.0_1726350576022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/huggingface-course/marian-finetuned-kde4-en-to-fr-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_en.md b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_en.md
new file mode 100644
index 00000000000000..78ff013950a07e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2 MarianTransformer from elnasharomar2
+author: John Snow Labs
+name: opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2` is a English model originally trained by elnasharomar2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_en_5.5.0_3.0_1726350715742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_en_5.5.0_3.0_1726350715742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|528.2 MB|
+
+## References
+
+https://huggingface.co/elnasharomar2/opus-mt-ar-en-finetuned-ar-to-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_pipeline_en.md
new file mode 100644
index 00000000000000..323d506fa12779
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_pipeline pipeline MarianTransformer from elnasharomar2
+author: John Snow Labs
+name: opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_pipeline` is a English model originally trained by elnasharomar2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_pipeline_en_5.5.0_3.0_1726350740662.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_pipeline_en_5.5.0_3.0_1726350740662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_elnasharomar2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|528.8 MB|
+
+## References
+
+https://huggingface.co/elnasharomar2/opus-mt-ar-en-finetuned-ar-to-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_pipeline_en.md
new file mode 100644
index 00000000000000..36b9d42b4be761
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_pipeline pipeline MarianTransformer from Lekshmiprabha
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_pipeline` is a English model originally trained by Lekshmiprabha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_pipeline_en_5.5.0_3.0_1726350569244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_pipeline_en_5.5.0_3.0_1726350569244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/Lekshmiprabha/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_italian_english_bds_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_italian_english_bds_pipeline_en.md
new file mode 100644
index 00000000000000..29cc1214020088
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_italian_english_bds_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_italian_english_bds_pipeline pipeline MarianTransformer from Anhptp
+author: John Snow Labs
+name: opus_maltese_italian_english_bds_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_italian_english_bds_pipeline` is a English model originally trained by Anhptp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_italian_english_bds_pipeline_en_5.5.0_3.0_1726351786936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_italian_english_bds_pipeline_en_5.5.0_3.0_1726351786936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_italian_english_bds_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_italian_english_bds_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_italian_english_bds_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|625.6 MB|
+
+## References
+
+https://huggingface.co/Anhptp/opus-mt-it-en-BDS
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-regression_xlm_roberta_divemt_ita_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-regression_xlm_roberta_divemt_ita_pipeline_en.md
new file mode 100644
index 00000000000000..2f7793d7016602
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-regression_xlm_roberta_divemt_ita_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English regression_xlm_roberta_divemt_ita_pipeline pipeline XlmRoBertaForSequenceClassification from iknlpt3
+author: John Snow Labs
+name: regression_xlm_roberta_divemt_ita_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`regression_xlm_roberta_divemt_ita_pipeline` is a English model originally trained by iknlpt3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/regression_xlm_roberta_divemt_ita_pipeline_en_5.5.0_3.0_1726353889284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/regression_xlm_roberta_divemt_ita_pipeline_en_5.5.0_3.0_1726353889284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("regression_xlm_roberta_divemt_ita_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("regression_xlm_roberta_divemt_ita_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|regression_xlm_roberta_divemt_ita_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|777.5 MB|
+
+## References
+
+https://huggingface.co/iknlpt3/regression_xlm_roberta_divemt_ita
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-squeezebert_uncased_finetuned_squad_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-14-squeezebert_uncased_finetuned_squad_finetuned_squad_en.md
new file mode 100644
index 00000000000000..c5c13c3ad6e92b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-squeezebert_uncased_finetuned_squad_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English squeezebert_uncased_finetuned_squad_finetuned_squad BertForQuestionAnswering from SupriyaArun
+author: John Snow Labs
+name: squeezebert_uncased_finetuned_squad_finetuned_squad
+date: 2024-09-14
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`squeezebert_uncased_finetuned_squad_finetuned_squad` is a English model originally trained by SupriyaArun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/squeezebert_uncased_finetuned_squad_finetuned_squad_en_5.5.0_3.0_1726349503634.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/squeezebert_uncased_finetuned_squad_finetuned_squad_en_5.5.0_3.0_1726349503634.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|squeezebert_uncased_finetuned_squad_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|187.4 MB|
+
+## References
+
+https://huggingface.co/SupriyaArun/squeezebert-uncased-finetuned-squad-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-squeezebert_uncased_finetuned_squad_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-squeezebert_uncased_finetuned_squad_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..c5f1b08ce89dfa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-squeezebert_uncased_finetuned_squad_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English squeezebert_uncased_finetuned_squad_finetuned_squad_pipeline pipeline BertForQuestionAnswering from SupriyaArun
+author: John Snow Labs
+name: squeezebert_uncased_finetuned_squad_finetuned_squad_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`squeezebert_uncased_finetuned_squad_finetuned_squad_pipeline` is a English model originally trained by SupriyaArun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/squeezebert_uncased_finetuned_squad_finetuned_squad_pipeline_en_5.5.0_3.0_1726349512721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/squeezebert_uncased_finetuned_squad_finetuned_squad_pipeline_en_5.5.0_3.0_1726349512721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("squeezebert_uncased_finetuned_squad_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("squeezebert_uncased_finetuned_squad_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|squeezebert_uncased_finetuned_squad_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|187.4 MB|
+
+## References
+
+https://huggingface.co/SupriyaArun/squeezebert-uncased-finetuned-squad-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-tatoeba_emea_20k_english_german_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-tatoeba_emea_20k_english_german_pipeline_en.md
new file mode 100644
index 00000000000000..86ebd2c0b42f61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-tatoeba_emea_20k_english_german_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tatoeba_emea_20k_english_german_pipeline pipeline MarianTransformer from muibk
+author: John Snow Labs
+name: tatoeba_emea_20k_english_german_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tatoeba_emea_20k_english_german_pipeline` is a English model originally trained by muibk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tatoeba_emea_20k_english_german_pipeline_en_5.5.0_3.0_1726351081373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tatoeba_emea_20k_english_german_pipeline_en_5.5.0_3.0_1726351081373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tatoeba_emea_20k_english_german_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tatoeba_emea_20k_english_german_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tatoeba_emea_20k_english_german_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|538.5 MB|
+
+## References
+
+https://huggingface.co/muibk/tatoeba_emea_20k_en-de
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-toxic_xlm_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-14-toxic_xlm_roberta_en.md
new file mode 100644
index 00000000000000..3b88dc63f55fe5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-toxic_xlm_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English toxic_xlm_roberta XlmRoBertaForSequenceClassification from Supreeth
+author: John Snow Labs
+name: toxic_xlm_roberta
+date: 2024-09-14
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic_xlm_roberta` is a English model originally trained by Supreeth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_xlm_roberta_en_5.5.0_3.0_1726353295629.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_xlm_roberta_en_5.5.0_3.0_1726353295629.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|veract_11_biov4_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|393.9 MB|
+
+## References
+
+https://huggingface.co/veract/veract-11-biov4.en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_base_faroese_8k_steps_100h_pipeline_fo.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_base_faroese_8k_steps_100h_pipeline_fo.md
new file mode 100644
index 00000000000000..a94ae570c76ec2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_base_faroese_8k_steps_100h_pipeline_fo.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Faroese whisper_base_faroese_8k_steps_100h_pipeline pipeline WhisperForCTC from carlosdanielhernandezmena
+author: John Snow Labs
+name: whisper_base_faroese_8k_steps_100h_pipeline
+date: 2024-09-14
+tags: [fo, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: fo
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_faroese_8k_steps_100h_pipeline` is a Faroese model originally trained by carlosdanielhernandezmena.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_faroese_8k_steps_100h_pipeline_fo_5.5.0_3.0_1726296312745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_faroese_8k_steps_100h_pipeline_fo_5.5.0_3.0_1726296312745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_faroese_8k_steps_100h_pipeline", lang = "fo")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_faroese_8k_steps_100h_pipeline", lang = "fo")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_faroese_8k_steps_100h_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fo|
+|Size:|643.3 MB|
+
+## References
+
+https://huggingface.co/carlosdanielhernandezmena/whisper-base-faroese-8k-steps-100h
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small3_italian_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small3_italian_pipeline_it.md
new file mode 100644
index 00000000000000..f44ee684436244
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small3_italian_pipeline_it.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Italian whisper_small3_italian_pipeline pipeline WhisperForCTC from luigisaetta
+author: John Snow Labs
+name: whisper_small3_italian_pipeline
+date: 2024-09-14
+tags: [it, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small3_italian_pipeline` is a Italian model originally trained by luigisaetta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small3_italian_pipeline_it_5.5.0_3.0_1726283775342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small3_italian_pipeline_it_5.5.0_3.0_1726283775342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small3_italian_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small3_italian_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small3_italian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/luigisaetta/whisper-small3-it
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_few_audios_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_few_audios_en.md
new file mode 100644
index 00000000000000..62ff1034c5706a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_few_audios_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_few_audios WhisperForCTC from breco
+author: John Snow Labs
+name: whisper_small_few_audios
+date: 2024-09-14
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_few_audios` is a English model originally trained by breco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_few_audios_en_5.5.0_3.0_1726321801619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_few_audios_en_5.5.0_3.0_1726321801619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_few_audios|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/breco/whisper-small-few-audios
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_finetuned_telugu_pipeline_te.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_finetuned_telugu_pipeline_te.md
new file mode 100644
index 00000000000000..efcade9e3e4b93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_finetuned_telugu_pipeline_te.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Telugu whisper_small_finetuned_telugu_pipeline pipeline WhisperForCTC from heisenberg3376
+author: John Snow Labs
+name: whisper_small_finetuned_telugu_pipeline
+date: 2024-09-14
+tags: [te, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: te
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_finetuned_telugu_pipeline` is a Telugu model originally trained by heisenberg3376.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_finetuned_telugu_pipeline_te_5.5.0_3.0_1726323815665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_finetuned_telugu_pipeline_te_5.5.0_3.0_1726323815665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_finetuned_telugu_pipeline", lang = "te")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_finetuned_telugu_pipeline", lang = "te")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_finetuned_telugu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|te|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/heisenberg3376/whisper-small-finetuned-telugu
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_hindi_eguladida_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_hindi_eguladida_pipeline_hi.md
new file mode 100644
index 00000000000000..dd8416f74781d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_hindi_eguladida_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_eguladida_pipeline pipeline WhisperForCTC from eguladida
+author: John Snow Labs
+name: whisper_small_hindi_eguladida_pipeline
+date: 2024-09-14
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_eguladida_pipeline` is a Hindi model originally trained by eguladida.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_eguladida_pipeline_hi_5.5.0_3.0_1726284642940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_eguladida_pipeline_hi_5.5.0_3.0_1726284642940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_eguladida_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_eguladida_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_eguladida_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/eguladida/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_miso_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_miso_pipeline_en.md
new file mode 100644
index 00000000000000..418c4182b1379f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_miso_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_miso_pipeline pipeline WhisperForCTC from mskov
+author: John Snow Labs
+name: whisper_small_miso_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_miso_pipeline` is a English model originally trained by mskov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_miso_pipeline_en_5.5.0_3.0_1726280832849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_miso_pipeline_en_5.5.0_3.0_1726280832849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_miso_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_miso_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_miso_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/mskov/whisper-small-miso
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_serbian_ri_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_serbian_ri_en.md
new file mode 100644
index 00000000000000..1c2ff4e6731e30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_serbian_ri_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_serbian_ri WhisperForCTC from tince250
+author: John Snow Labs
+name: whisper_small_serbian_ri
+date: 2024-09-14
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_serbian_ri` is a English model originally trained by tince250.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_serbian_ri_en_5.5.0_3.0_1726299172591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_serbian_ri_en_5.5.0_3.0_1726299172591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wikitext_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/gary109/wikitext_roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_all_amartyobanerjee_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_all_amartyobanerjee_en.md
new file mode 100644
index 00000000000000..b32d6ea0ae8017
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_all_amartyobanerjee_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_amartyobanerjee XlmRoBertaForTokenClassification from amartyobanerjee
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_amartyobanerjee
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_amartyobanerjee` is a English model originally trained by amartyobanerjee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_amartyobanerjee_en_5.5.0_3.0_1726289751737.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_amartyobanerjee_en_5.5.0_3.0_1726289751737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_amartyobanerjee|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/amartyobanerjee/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_all_ryatora_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_all_ryatora_en.md
new file mode 100644
index 00000000000000..1c8eeb2990b0f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_all_ryatora_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_ryatora XlmRoBertaForTokenClassification from ryatora
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_ryatora
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_ryatora` is a English model originally trained by ryatora.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_ryatora_en_5.5.0_3.0_1726292319340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_ryatora_en_5.5.0_3.0_1726292319340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_ryatora|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|859.8 MB|
+
+## References
+
+https://huggingface.co/ryatora/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_english_koroku_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_english_koroku_en.md
new file mode 100644
index 00000000000000..1eb7e0987b6989
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_english_koroku_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_koroku XlmRoBertaForTokenClassification from koroku
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_koroku
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_koroku` is a English model originally trained by koroku.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_koroku_en_5.5.0_3.0_1726346667777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_koroku_en_5.5.0_3.0_1726346667777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_koroku|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|841.8 MB|
+
+## References
+
+https://huggingface.co/koroku/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_oknashar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_oknashar_pipeline_en.md
new file mode 100644
index 00000000000000..3ca23ef29a4295
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_oknashar_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_oknashar_pipeline pipeline XlmRoBertaForTokenClassification from oknashar
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_oknashar_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_oknashar_pipeline` is a English model originally trained by oknashar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_oknashar_pipeline_en_5.5.0_3.0_1726292129316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_oknashar_pipeline_en_5.5.0_3.0_1726292129316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_oknashar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_oknashar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_oknashar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/oknashar/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_praboda_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_praboda_pipeline_en.md
new file mode 100644
index 00000000000000..27df4ddde84d78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_praboda_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_praboda_pipeline pipeline XlmRoBertaForTokenClassification from Praboda
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_praboda_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_praboda_pipeline` is a English model originally trained by Praboda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_praboda_pipeline_en_5.5.0_3.0_1726291763324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_praboda_pipeline_en_5.5.0_3.0_1726291763324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_praboda_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_praboda_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_praboda_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/Praboda/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_ysige_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_ysige_en.md
new file mode 100644
index 00000000000000..d9a6863477100b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_ysige_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_ysige XlmRoBertaForTokenClassification from ysige
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_ysige
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_ysige` is a English model originally trained by ysige.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_ysige_en_5.5.0_3.0_1726345478160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_ysige_en_5.5.0_3.0_1726345478160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_ysige|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/ysige/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-27th2024dash1_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-15-27th2024dash1_distilbert_base_uncased_en.md
new file mode 100644
index 00000000000000..e7c39d76a914b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-27th2024dash1_distilbert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 27th2024dash1_distilbert_base_uncased DistilBertForSequenceClassification from blockchain17171
+author: John Snow Labs
+name: 27th2024dash1_distilbert_base_uncased
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`27th2024dash1_distilbert_base_uncased` is a English model originally trained by blockchain17171.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/27th2024dash1_distilbert_base_uncased_en_5.5.0_3.0_1726366032740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/27th2024dash1_distilbert_base_uncased_en_5.5.0_3.0_1726366032740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|27th2024dash1_distilbert_base_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/blockchain17171/27th2024DASH1-distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-arabic_sentiment_reviews_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-arabic_sentiment_reviews_pipeline_en.md
new file mode 100644
index 00000000000000..f745726fd6c90b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-arabic_sentiment_reviews_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English arabic_sentiment_reviews_pipeline pipeline DistilBertForSequenceClassification from ahmed792002
+author: John Snow Labs
+name: arabic_sentiment_reviews_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arabic_sentiment_reviews_pipeline` is a English model originally trained by ahmed792002.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabic_sentiment_reviews_pipeline_en_5.5.0_3.0_1726366576480.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabic_sentiment_reviews_pipeline_en_5.5.0_3.0_1726366576480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arabic_sentiment_reviews_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arabic_sentiment_reviews_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabic_sentiment_reviews_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ahmed792002/arabic_sentiment_reviews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-arun_email_profile_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-arun_email_profile_pipeline_en.md
new file mode 100644
index 00000000000000..c7c0a04af4b396
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-arun_email_profile_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English arun_email_profile_pipeline pipeline DistilBertForSequenceClassification from arunxx2
+author: John Snow Labs
+name: arun_email_profile_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arun_email_profile_pipeline` is a English model originally trained by arunxx2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arun_email_profile_pipeline_en_5.5.0_3.0_1726366430920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arun_email_profile_pipeline_en_5.5.0_3.0_1726366430920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arun_email_profile_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arun_email_profile_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arun_email_profile_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/arunxx2/arun-email-profile
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-autotrain_qa_user_954831770_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-autotrain_qa_user_954831770_pipeline_en.md
new file mode 100644
index 00000000000000..d6835d3d42c185
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-autotrain_qa_user_954831770_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English autotrain_qa_user_954831770_pipeline pipeline DistilBertForQuestionAnswering from shwetha
+author: John Snow Labs
+name: autotrain_qa_user_954831770_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_qa_user_954831770_pipeline` is a English model originally trained by shwetha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_qa_user_954831770_pipeline_en_5.5.0_3.0_1726435185152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_qa_user_954831770_pipeline_en_5.5.0_3.0_1726435185152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_qa_user_954831770_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_qa_user_954831770_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_qa_user_954831770_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/shwetha/autotrain-qa-user-954831770
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-babyberta_aochildes_french_aochildes_2_5m_with_masking_seed3_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-15-babyberta_aochildes_french_aochildes_2_5m_with_masking_seed3_finetuned_squad_en.md
new file mode 100644
index 00000000000000..064acf9222fb63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-babyberta_aochildes_french_aochildes_2_5m_with_masking_seed3_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_aochildes_french_aochildes_2_5m_with_masking_seed3_finetuned_squad RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_french_aochildes_2_5m_with_masking_seed3_finetuned_squad
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_aochildes_french_aochildes_2_5m_with_masking_seed3_finetuned_squad` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_french_aochildes_2_5m_with_masking_seed3_finetuned_squad_en_5.5.0_3.0_1726369045062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_french_aochildes_2_5m_with_masking_seed3_finetuned_squad_en_5.5.0_3.0_1726369045062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_aochildes_french_aochildes_2_5m_with_masking_seed3_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-aochildes-french_aochildes_2.5M-with-Masking-seed3-finetuned-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-babyberta_wikipedia_french_run3_without_masking_finetuned_qamr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-babyberta_wikipedia_french_run3_without_masking_finetuned_qamr_pipeline_en.md
new file mode 100644
index 00000000000000..251fb9df24cb08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-babyberta_wikipedia_french_run3_without_masking_finetuned_qamr_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_wikipedia_french_run3_without_masking_finetuned_qamr_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_wikipedia_french_run3_without_masking_finetuned_qamr_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_wikipedia_french_run3_without_masking_finetuned_qamr_pipeline` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia_french_run3_without_masking_finetuned_qamr_pipeline_en_5.5.0_3.0_1726363635852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia_french_run3_without_masking_finetuned_qamr_pipeline_en_5.5.0_3.0_1726363635852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_wikipedia_french_run3_without_masking_finetuned_qamr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_wikipedia_french_run3_without_masking_finetuned_qamr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_wikipedia_french_run3_without_masking_finetuned_qamr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-wikipedia_french-run3-without-Masking-finetuned-QAMR
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-babyberta_wikipedia_french_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-babyberta_wikipedia_french_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..936dbbdf0b141a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-babyberta_wikipedia_french_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_wikipedia_french_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_wikipedia_french_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_wikipedia_french_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia_french_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1726363807157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia_french_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1726363807157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_wikipedia_french_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_wikipedia_french_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_wikipedia_french_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-wikipedia_french_wikipedia1_2.5M-without-Masking-seed6-finetuned-SQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-bert_base_uncased_ftd_on_glue_mrpc_iter_10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-bert_base_uncased_ftd_on_glue_mrpc_iter_10_pipeline_en.md
new file mode 100644
index 00000000000000..11db3c90c62f0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-bert_base_uncased_ftd_on_glue_mrpc_iter_10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_ftd_on_glue_mrpc_iter_10_pipeline pipeline BertForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: bert_base_uncased_ftd_on_glue_mrpc_iter_10_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ftd_on_glue_mrpc_iter_10_pipeline` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ftd_on_glue_mrpc_iter_10_pipeline_en_5.5.0_3.0_1726375980128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ftd_on_glue_mrpc_iter_10_pipeline_en_5.5.0_3.0_1726375980128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ftd_on_glue_mrpc_iter_10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ftd_on_glue_mrpc_iter_10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ftd_on_glue_mrpc_iter_10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Ibrahim-Alam/bert-base-uncased_FTd_on_glue-mrpc_iter-10
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-bert_gemma_strongoversight_vllm_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-bert_gemma_strongoversight_vllm_1_pipeline_en.md
new file mode 100644
index 00000000000000..c9aa3bd75e5cb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-bert_gemma_strongoversight_vllm_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_gemma_strongoversight_vllm_1_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: bert_gemma_strongoversight_vllm_1_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_gemma_strongoversight_vllm_1_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_gemma_strongoversight_vllm_1_pipeline_en_5.5.0_3.0_1726365943148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_gemma_strongoversight_vllm_1_pipeline_en_5.5.0_3.0_1726365943148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_gemma_strongoversight_vllm_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_gemma_strongoversight_vllm_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_gemma_strongoversight_vllm_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/BERT_gemma-strongOversight-vllm_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-bias_trainer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-bias_trainer_pipeline_en.md
new file mode 100644
index 00000000000000..5f8810daa36e72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-bias_trainer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bias_trainer_pipeline pipeline DistilBertForSequenceClassification from AIUs3r0
+author: John Snow Labs
+name: bias_trainer_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bias_trainer_pipeline` is a English model originally trained by AIUs3r0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bias_trainer_pipeline_en_5.5.0_3.0_1726394282806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bias_trainer_pipeline_en_5.5.0_3.0_1726394282806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bias_trainer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bias_trainer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bias_trainer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AIUs3r0/BIAS_Trainer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-brwac_v1_1__checkpoint_8_en.md b/docs/_posts/ahmedlone127/2024-09-15-brwac_v1_1__checkpoint_8_en.md
new file mode 100644
index 00000000000000..dd3d4b050d162c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-brwac_v1_1__checkpoint_8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English brwac_v1_1__checkpoint_8 RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: brwac_v1_1__checkpoint_8
+date: 2024-09-15
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`brwac_v1_1__checkpoint_8` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/brwac_v1_1__checkpoint_8_en_5.5.0_3.0_1726384051020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/brwac_v1_1__checkpoint_8_en_5.5.0_3.0_1726384051020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|brwac_v1_1__checkpoint_8|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|298.5 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/brwac_v1_1__checkpoint_8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_andrew6_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_andrew6_en.md
new file mode 100644
index 00000000000000..b6a7d44c9a50c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_andrew6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_andrew6 DistilBertForSequenceClassification from andrew6
+author: John Snow Labs
+name: burmese_awesome_model_andrew6
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_andrew6` is a English model originally trained by andrew6.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_andrew6_en_5.5.0_3.0_1726394184212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_andrew6_en_5.5.0_3.0_1726394184212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_andrew6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/andrew6/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_bill1993_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_bill1993_en.md
new file mode 100644
index 00000000000000..eca5c05cd04752
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_bill1993_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_bill1993 DistilBertForSequenceClassification from bill1993
+author: John Snow Labs
+name: burmese_awesome_model_bill1993
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_bill1993` is a English model originally trained by bill1993.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bill1993_en_5.5.0_3.0_1726366282059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bill1993_en_5.5.0_3.0_1726366282059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_bill1993|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bill1993/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_khalifa1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_khalifa1_pipeline_en.md
new file mode 100644
index 00000000000000..fadea3dc4b0aca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_khalifa1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_khalifa1_pipeline pipeline DistilBertForSequenceClassification from khalifa1
+author: John Snow Labs
+name: burmese_awesome_model_khalifa1_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_khalifa1_pipeline` is a English model originally trained by khalifa1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_khalifa1_pipeline_en_5.5.0_3.0_1726366422161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_khalifa1_pipeline_en_5.5.0_3.0_1726366422161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_khalifa1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_khalifa1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_khalifa1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/khalifa1/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_karthikalagarsamy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_karthikalagarsamy_pipeline_en.md
new file mode 100644
index 00000000000000..2f80bb1161b553
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_karthikalagarsamy_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_karthikalagarsamy_pipeline pipeline DistilBertForQuestionAnswering from KarthikAlagarsamy
+author: John Snow Labs
+name: burmese_awesome_qa_model_karthikalagarsamy_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_karthikalagarsamy_pipeline` is a English model originally trained by KarthikAlagarsamy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_karthikalagarsamy_pipeline_en_5.5.0_3.0_1726382677866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_karthikalagarsamy_pipeline_en_5.5.0_3.0_1726382677866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_karthikalagarsamy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_karthikalagarsamy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_karthikalagarsamy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/KarthikAlagarsamy/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_model_experimentsa_balancedtrain_sep12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_model_experimentsa_balancedtrain_sep12_pipeline_en.md
new file mode 100644
index 00000000000000..31e171ef257e5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_model_experimentsa_balancedtrain_sep12_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_model_experimentsa_balancedtrain_sep12_pipeline pipeline RoBertaForSequenceClassification from HFFErica
+author: John Snow Labs
+name: burmese_model_experimentsa_balancedtrain_sep12_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_experimentsa_balancedtrain_sep12_pipeline` is a English model originally trained by HFFErica.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_experimentsa_balancedtrain_sep12_pipeline_en_5.5.0_3.0_1726439993082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_experimentsa_balancedtrain_sep12_pipeline_en_5.5.0_3.0_1726439993082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_model_experimentsa_balancedtrain_sep12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_model_experimentsa_balancedtrain_sep12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_model_experimentsa_balancedtrain_sep12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/HFFErica/my_model_ExperimentSA_balancedtrain_Sep12
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-chemberta_zinc250k_v2_40k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-chemberta_zinc250k_v2_40k_pipeline_en.md
new file mode 100644
index 00000000000000..64aee7aeae7b0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-chemberta_zinc250k_v2_40k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English chemberta_zinc250k_v2_40k_pipeline pipeline RoBertaEmbeddings from seyonec
+author: John Snow Labs
+name: chemberta_zinc250k_v2_40k_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chemberta_zinc250k_v2_40k_pipeline` is a English model originally trained by seyonec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chemberta_zinc250k_v2_40k_pipeline_en_5.5.0_3.0_1726413678799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chemberta_zinc250k_v2_40k_pipeline_en_5.5.0_3.0_1726413678799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("chemberta_zinc250k_v2_40k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("chemberta_zinc250k_v2_40k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chemberta_zinc250k_v2_40k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|310.0 MB|
+
+## References
+
+https://huggingface.co/seyonec/ChemBERTa_zinc250k_v2_40k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-classify_articles_en.md b/docs/_posts/ahmedlone127/2024-09-15-classify_articles_en.md
new file mode 100644
index 00000000000000..179ec84b554810
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-classify_articles_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English classify_articles AlbertForSequenceClassification from jamesbaskerville
+author: John Snow Labs
+name: classify_articles
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classify_articles` is a English model originally trained by jamesbaskerville.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classify_articles_en_5.5.0_3.0_1726372602246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classify_articles_en_5.5.0_3.0_1726372602246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classify_articles|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/jamesbaskerville/classify-articles
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-classify_isin_step4_en.md b/docs/_posts/ahmedlone127/2024-09-15-classify_isin_step4_en.md
new file mode 100644
index 00000000000000..94ceaecfed81b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-classify_isin_step4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English classify_isin_step4 AlbertForSequenceClassification from calculito
+author: John Snow Labs
+name: classify_isin_step4
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classify_isin_step4` is a English model originally trained by calculito.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classify_isin_step4_en_5.5.0_3.0_1726371888355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classify_isin_step4_en_5.5.0_3.0_1726371888355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classify_isin_step4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|46.2 MB|
+
+## References
+
+https://huggingface.co/calculito/classify-ISIN-STEP4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-delivery_balanced_distilbert_base_uncased_v4_en.md b/docs/_posts/ahmedlone127/2024-09-15-delivery_balanced_distilbert_base_uncased_v4_en.md
new file mode 100644
index 00000000000000..c5b12e012eebac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-delivery_balanced_distilbert_base_uncased_v4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English delivery_balanced_distilbert_base_uncased_v4 DistilBertForSequenceClassification from chuuhtetnaing
+author: John Snow Labs
+name: delivery_balanced_distilbert_base_uncased_v4
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`delivery_balanced_distilbert_base_uncased_v4` is a English model originally trained by chuuhtetnaing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/delivery_balanced_distilbert_base_uncased_v4_en_5.5.0_3.0_1726385102234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/delivery_balanced_distilbert_base_uncased_v4_en_5.5.0_3.0_1726385102234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_cased_fire_classification_silvanus|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/rollerhafeezh-amikom/distil_cased-fire-classification-silvanus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_fact_updates_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_fact_updates_en.md
new file mode 100644
index 00000000000000..41cbf30750ea52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_fact_updates_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_fact_updates DistilBertForSequenceClassification from rishavranaut
+author: John Snow Labs
+name: distilbert_base_fact_updates
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_fact_updates` is a English model originally trained by rishavranaut.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_fact_updates_en_5.5.0_3.0_1726394284648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_fact_updates_en_5.5.0_3.0_1726394284648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_fact_updates|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rishavranaut/distilbert-base-fact-updates
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_clinc_esperesa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_clinc_esperesa_pipeline_en.md
new file mode 100644
index 00000000000000..0b8127e0446006
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_clinc_esperesa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_esperesa_pipeline pipeline DistilBertForSequenceClassification from esperesa
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_esperesa_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_esperesa_pipeline` is a English model originally trained by esperesa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_esperesa_pipeline_en_5.5.0_3.0_1726366127958.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_esperesa_pipeline_en_5.5.0_3.0_1726366127958.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_esperesa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_esperesa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_esperesa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/esperesa/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_kaspersmidt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_kaspersmidt_pipeline_en.md
new file mode 100644
index 00000000000000..83a4cf865c0219
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_kaspersmidt_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kaspersmidt_pipeline pipeline DistilBertForSequenceClassification from Kaspersmidt
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kaspersmidt_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kaspersmidt_pipeline` is a English model originally trained by Kaspersmidt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kaspersmidt_pipeline_en_5.5.0_3.0_1726366381898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kaspersmidt_pipeline_en_5.5.0_3.0_1726366381898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_kaspersmidt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_kaspersmidt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_kaspersmidt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kaspersmidt/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_kyuyun_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_kyuyun_pipeline_en.md
new file mode 100644
index 00000000000000..ef4f5a9407a839
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_kyuyun_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kyuyun_pipeline pipeline DistilBertForSequenceClassification from Kyuyun
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kyuyun_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kyuyun_pipeline` is a English model originally trained by Kyuyun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kyuyun_pipeline_en_5.5.0_3.0_1726393558857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kyuyun_pipeline_en_5.5.0_3.0_1726393558857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_kyuyun_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_kyuyun_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_kyuyun_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kyuyun/distilbert-base-uncased-finetuned_emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_tagaway_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_tagaway_en.md
new file mode 100644
index 00000000000000..2b09dc3300c106
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_tagaway_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_tagaway DistilBertForSequenceClassification from tagaway
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_tagaway
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tagaway` is a English model originally trained by tagaway.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tagaway_en_5.5.0_3.0_1726393774640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tagaway_en_5.5.0_3.0_1726393774640.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_tagaway|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tagaway/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_sentiment_sar79_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_sentiment_sar79_pipeline_en.md
new file mode 100644
index 00000000000000..2d197e90a9ace2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_sentiment_sar79_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sentiment_sar79_pipeline pipeline DistilBertForSequenceClassification from sar79
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sentiment_sar79_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sentiment_sar79_pipeline` is a English model originally trained by sar79.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sentiment_sar79_pipeline_en_5.5.0_3.0_1726385404788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sentiment_sar79_pipeline_en_5.5.0_3.0_1726385404788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_sentiment_sar79_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_sentiment_sar79_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sentiment_sar79_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sar79/distilbert-base-uncased-finetuned-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_d5716d28_gostrive_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_d5716d28_gostrive_pipeline_en.md
new file mode 100644
index 00000000000000..d3a707af21a18e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_d5716d28_gostrive_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_gostrive_pipeline pipeline DistilBertForQuestionAnswering from gostrive
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_gostrive_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_gostrive_pipeline` is a English model originally trained by gostrive.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_gostrive_pipeline_en_5.5.0_3.0_1726435450475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_gostrive_pipeline_en_5.5.0_3.0_1726435450475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_gostrive_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_gostrive_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_gostrive_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/gostrive/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_d5716d28_peterhsu_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_d5716d28_peterhsu_en.md
new file mode 100644
index 00000000000000..c49e2be4796339
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_d5716d28_peterhsu_en.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_peterhsu DistilBertEmbeddings from peterhsu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_peterhsu
+date: 2024-09-15
+tags: [distilbert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_peterhsu` is a English model originally trained by peterhsu.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_peterhsu_en_5.5.0_3.0_1726434984776.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_peterhsu_en_5.5.0_3.0_1726434984776.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_peterhsu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+References
+
+https://huggingface.co/peterhsu/distilbert-base-uncased-finetuned-squad-d5716d28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_ft_clinc_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_ft_clinc_en.md
new file mode 100644
index 00000000000000..fd8ba452dcc816
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_ft_clinc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_ft_clinc DistilBertForSequenceClassification from liuguojing
+author: John Snow Labs
+name: distilbert_base_uncased_ft_clinc
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ft_clinc` is a English model originally trained by liuguojing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ft_clinc_en_5.5.0_3.0_1726406281349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ft_clinc_en_5.5.0_3.0_1726406281349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ft_clinc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/liuguojing/distilbert-base-uncased-ft-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_en.md
new file mode 100644
index 00000000000000..367dc1e40d45ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_en_5.5.0_3.0_1726394276865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_en_5.5.0_3.0_1726394276865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_idm_zphr_0st52sd_ut32ut1_PL0stlarge42_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut1largepfxnf_simsp100_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut1largepfxnf_simsp100_en.md
new file mode 100644
index 00000000000000..c28f969a78110a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut1largepfxnf_simsp100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut1largepfxnf_simsp100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut1largepfxnf_simsp100
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut1largepfxnf_simsp100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut1largepfxnf_simsp100_en_5.5.0_3.0_1726405783203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut1largepfxnf_simsp100_en_5.5.0_3.0_1726405783203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut1largepfxnf_simsp100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut1largePfxNf_simsp100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_imdb_sentiment_aniket_jain_9_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_imdb_sentiment_aniket_jain_9_pipeline_en.md
new file mode 100644
index 00000000000000..dae96cc4485257
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_imdb_sentiment_aniket_jain_9_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_finetuned_imdb_sentiment_aniket_jain_9_pipeline pipeline DistilBertForSequenceClassification from aniket-jain-9
+author: John Snow Labs
+name: distilbert_finetuned_imdb_sentiment_aniket_jain_9_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_imdb_sentiment_aniket_jain_9_pipeline` is a English model originally trained by aniket-jain-9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_aniket_jain_9_pipeline_en_5.5.0_3.0_1726385206698.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_aniket_jain_9_pipeline_en_5.5.0_3.0_1726385206698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_imdb_sentiment_aniket_jain_9_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_imdb_sentiment_aniket_jain_9_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_imdb_sentiment_aniket_jain_9_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aniket-jain-9/distilbert-finetuned-imdb-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_scam_classifier_v1_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_scam_classifier_v1_2_pipeline_en.md
new file mode 100644
index 00000000000000..ff7cc8bd47dc9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_scam_classifier_v1_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_scam_classifier_v1_2_pipeline pipeline DistilBertForSequenceClassification from BothBosu
+author: John Snow Labs
+name: distilbert_scam_classifier_v1_2_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_scam_classifier_v1_2_pipeline` is a English model originally trained by BothBosu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_scam_classifier_v1_2_pipeline_en_5.5.0_3.0_1726406563477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_scam_classifier_v1_2_pipeline_en_5.5.0_3.0_1726406563477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_scam_classifier_v1_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_scam_classifier_v1_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_scam_classifier_v1_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BothBosu/distilbert-scam-classifier-v1.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_sentiment_geshijoker_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_sentiment_geshijoker_en.md
new file mode 100644
index 00000000000000..adaab8b8091c60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_sentiment_geshijoker_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sentiment_geshijoker DistilBertForSequenceClassification from geshijoker
+author: John Snow Labs
+name: distilbert_sentiment_geshijoker
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentiment_geshijoker` is a English model originally trained by geshijoker.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_geshijoker_en_5.5.0_3.0_1726366210364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_geshijoker_en_5.5.0_3.0_1726366210364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dnabert_k07_w10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.9 MB|
+
+## References
+
+https://huggingface.co/wjbmattingly/dnaBERT-k07-w10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuning_distilbert_model_steam_game_reviews_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuning_distilbert_model_steam_game_reviews_pipeline_en.md
new file mode 100644
index 00000000000000..bda1a0f7617e38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuning_distilbert_model_steam_game_reviews_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_distilbert_model_steam_game_reviews_pipeline pipeline DistilBertForSequenceClassification from zitroeth
+author: John Snow Labs
+name: finetuning_distilbert_model_steam_game_reviews_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_distilbert_model_steam_game_reviews_pipeline` is a English model originally trained by zitroeth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_model_steam_game_reviews_pipeline_en_5.5.0_3.0_1726393808701.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_model_steam_game_reviews_pipeline_en_5.5.0_3.0_1726393808701.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_distilbert_model_steam_game_reviews_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_distilbert_model_steam_game_reviews_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_distilbert_model_steam_game_reviews_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/zitroeth/finetuning-distilbert-model-steam-game-reviews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_lephatminh_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_lephatminh_en.md
new file mode 100644
index 00000000000000..1d96d522b56e2e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_lephatminh_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_lephatminh DistilBertForSequenceClassification from lephatminh
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_lephatminh
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_lephatminh` is a English model originally trained by lephatminh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lephatminh_en_5.5.0_3.0_1726365714625.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lephatminh_en_5.5.0_3.0_1726365714625.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_lephatminh|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lephatminh/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_abhiramd22_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_abhiramd22_en.md
new file mode 100644
index 00000000000000..30029187a6c6f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_abhiramd22_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_abhiramd22 DistilBertForSequenceClassification from abhiramd22
+author: John Snow Labs
+name: finetuning_sentiment_model_abhiramd22
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_abhiramd22` is a English model originally trained by abhiramd22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_abhiramd22_en_5.5.0_3.0_1726365934456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_abhiramd22_en_5.5.0_3.0_1726365934456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_abhiramd22|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abhiramd22/finetuning-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-hate_hate_balance_random0_seed2_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-hate_hate_balance_random0_seed2_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..6595b7eff7736f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-hate_hate_balance_random0_seed2_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_balance_random0_seed2_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random0_seed2_bernice_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_random0_seed2_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random0_seed2_bernice_pipeline_en_5.5.0_3.0_1726442282230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random0_seed2_bernice_pipeline_en_5.5.0_3.0_1726442282230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_hate_balance_random0_seed2_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_balance_random0_seed2_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random0_seed2_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|783.4 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_random0_seed2-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-hawk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-hawk_pipeline_en.md
new file mode 100644
index 00000000000000..6b209ee51659df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-hawk_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English hawk_pipeline pipeline RoBertaForQuestionAnswering from nickbot606
+author: John Snow Labs
+name: hawk_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hawk_pipeline` is a English model originally trained by nickbot606.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hawk_pipeline_en_5.5.0_3.0_1726379809525.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hawk_pipeline_en_5.5.0_3.0_1726379809525.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hawk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hawk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hawk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.6 MB|
+
+## References
+
+https://huggingface.co/nickbot606/hawk
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-intent_classification_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-intent_classification_small_pipeline_en.md
new file mode 100644
index 00000000000000..fd20556f21ddb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-intent_classification_small_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English intent_classification_small_pipeline pipeline DistilBertForSequenceClassification from anuz123
+author: John Snow Labs
+name: intent_classification_small_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classification_small_pipeline` is a English model originally trained by anuz123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classification_small_pipeline_en_5.5.0_3.0_1726385210358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classification_small_pipeline_en_5.5.0_3.0_1726385210358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("intent_classification_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("intent_classification_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intent_classification_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.3 MB|
+
+## References
+
+https://huggingface.co/anuz123/Intent-Classification-small
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-just_maltese_norwegian_delete_5e_5_en.md b/docs/_posts/ahmedlone127/2024-09-15-just_maltese_norwegian_delete_5e_5_en.md
new file mode 100644
index 00000000000000..537f0092b71365
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-just_maltese_norwegian_delete_5e_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English just_maltese_norwegian_delete_5e_5 XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: just_maltese_norwegian_delete_5e_5
+date: 2024-09-15
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`just_maltese_norwegian_delete_5e_5` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/just_maltese_norwegian_delete_5e_5_en_5.5.0_3.0_1726361984971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/just_maltese_norwegian_delete_5e_5_en_5.5.0_3.0_1726361984971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|just_maltese_norwegian_delete_5e_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/grace-pro/just_mt_no_delete_5e-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-marta_t5_gpt_en.md b/docs/_posts/ahmedlone127/2024-09-15-marta_t5_gpt_en.md
new file mode 100644
index 00000000000000..4e19a25aa99e3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-marta_t5_gpt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marta_t5_gpt DistilBertForSequenceClassification from MartaTT
+author: John Snow Labs
+name: marta_t5_gpt
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marta_t5_gpt` is a English model originally trained by MartaTT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marta_t5_gpt_en_5.5.0_3.0_1726393880325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marta_t5_gpt_en_5.5.0_3.0_1726393880325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marta_t5_gpt|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|254.1 MB|
+
+## References
+
+https://huggingface.co/MartaTT/Marta_T5_gpt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-multi_label_class_classification_on_github_issues_en.md b/docs/_posts/ahmedlone127/2024-09-15-multi_label_class_classification_on_github_issues_en.md
new file mode 100644
index 00000000000000..05494fcd065050
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-multi_label_class_classification_on_github_issues_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English multi_label_class_classification_on_github_issues BertForSequenceClassification from Rami
+author: John Snow Labs
+name: multi_label_class_classification_on_github_issues
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multi_label_class_classification_on_github_issues` is a English model originally trained by Rami.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multi_label_class_classification_on_github_issues_en_5.5.0_3.0_1726375903651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multi_label_class_classification_on_github_issues_en_5.5.0_3.0_1726375903651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multi_label_class_classification_on_github_issues|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.5 MB|
+
+## References
+
+https://huggingface.co/Rami/multi-label-class-classification-on-github-issues
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_pipeline_en.md
new file mode 100644
index 00000000000000..cc63971c5e0dd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_pipeline pipeline RoBertaForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_pipeline` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_pipeline_en_5.5.0_3.0_1726369208352.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_pipeline_en_5.5.0_3.0_1726369208352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/AnonymousSub/output_mask_TWO_STEPS_pretraining_plus_contr_roberta-large_EPOCHS_1
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-platzi_distilroberta_base_mrpc_glue_gabriel_ichcanziho_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-platzi_distilroberta_base_mrpc_glue_gabriel_ichcanziho_pipeline_en.md
new file mode 100644
index 00000000000000..d47e96642ba2df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-platzi_distilroberta_base_mrpc_glue_gabriel_ichcanziho_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_gabriel_ichcanziho_pipeline pipeline RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_gabriel_ichcanziho_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_glue_gabriel_ichcanziho_pipeline` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_gabriel_ichcanziho_pipeline_en_5.5.0_3.0_1726440172065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_gabriel_ichcanziho_pipeline_en_5.5.0_3.0_1726440172065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("platzi_distilroberta_base_mrpc_glue_gabriel_ichcanziho_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("platzi_distilroberta_base_mrpc_glue_gabriel_ichcanziho_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue_gabriel_ichcanziho_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/platzi/platzi-distilroberta-base-mrpc-glue-gabriel-ichcanziho
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_base_strict_small_2023_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_strict_small_2023_en.md
new file mode 100644
index 00000000000000..ca18dad1c24a69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_strict_small_2023_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_strict_small_2023 RoBertaEmbeddings from babylm
+author: John Snow Labs
+name: roberta_base_strict_small_2023
+date: 2024-09-15
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_strict_small_2023` is a English model originally trained by babylm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_strict_small_2023_en_5.5.0_3.0_1726414168706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_strict_small_2023_en_5.5.0_3.0_1726414168706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_strict_small_2023|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.5 MB|
+
+## References
+
+https://huggingface.co/babylm/roberta-base-strict-small-2023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_finetuned_medquad_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_finetuned_medquad_2_pipeline_en.md
new file mode 100644
index 00000000000000..58a55e4d2bedcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_finetuned_medquad_2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_medquad_2_pipeline pipeline RoBertaForQuestionAnswering from DataScientist1122
+author: John Snow Labs
+name: roberta_finetuned_medquad_2_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_medquad_2_pipeline` is a English model originally trained by DataScientist1122.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_medquad_2_pipeline_en_5.5.0_3.0_1726364012524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_medquad_2_pipeline_en_5.5.0_3.0_1726364012524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_medquad_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_medquad_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_medquad_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|443.9 MB|
+
+## References
+
+https://huggingface.co/DataScientist1122/roberta-finetuned-medquad_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_gest_pred_seqeval_partialmatch_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_gest_pred_seqeval_partialmatch_en.md
new file mode 100644
index 00000000000000..b42b6bd4110a4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_gest_pred_seqeval_partialmatch_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_gest_pred_seqeval_partialmatch RoBertaForTokenClassification from Jsevisal
+author: John Snow Labs
+name: roberta_gest_pred_seqeval_partialmatch
+date: 2024-09-15
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_gest_pred_seqeval_partialmatch` is a English model originally trained by Jsevisal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_gest_pred_seqeval_partialmatch_en_5.5.0_3.0_1726403140884.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_gest_pred_seqeval_partialmatch_en_5.5.0_3.0_1726403140884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_gest_pred_seqeval_partialmatch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|429.4 MB|
+
+## References
+
+https://huggingface.co/Jsevisal/roberta-gest-pred-seqeval-partialmatch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_large_deletion_multiclass_complete_final_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_deletion_multiclass_complete_final_pipeline_en.md
new file mode 100644
index 00000000000000..0ed8d8be9a8e23
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_deletion_multiclass_complete_final_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_deletion_multiclass_complete_final_pipeline pipeline RoBertaForSequenceClassification from research-dump
+author: John Snow Labs
+name: roberta_large_deletion_multiclass_complete_final_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_deletion_multiclass_complete_final_pipeline` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_deletion_multiclass_complete_final_pipeline_en_5.5.0_3.0_1726402505825.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_deletion_multiclass_complete_final_pipeline_en_5.5.0_3.0_1726402505825.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_deletion_multiclass_complete_final_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_deletion_multiclass_complete_final_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_deletion_multiclass_complete_final_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/research-dump/roberta-large_deletion_multiclass_complete_final
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_large_squad_model3_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_squad_model3_en.md
new file mode 100644
index 00000000000000..8777fe4167f203
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_squad_model3_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_large_squad_model3 RoBertaForQuestionAnswering from varun-v-rao
+author: John Snow Labs
+name: roberta_large_squad_model3
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_squad_model3` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_squad_model3_en_5.5.0_3.0_1726404702370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_squad_model3_en_5.5.0_3.0_1726404702370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|simpletransformer_qa_roberta_base_mtanzi_hopin|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|414.2 MB|
+
+## References
+
+https://huggingface.co/mtanzi-hopin/simpletransformer-qa-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-test_model_jockerli_en.md b/docs/_posts/ahmedlone127/2024-09-15-test_model_jockerli_en.md
new file mode 100644
index 00000000000000..a74d10e792ff95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-test_model_jockerli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_model_jockerli DistilBertForSequenceClassification from JockerLi
+author: John Snow Labs
+name: test_model_jockerli
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_model_jockerli` is a English model originally trained by JockerLi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model_jockerli_en_5.5.0_3.0_1726365831130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model_jockerli_en_5.5.0_3.0_1726365831130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_model_jockerli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JockerLi/test_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-testing_model_1_mikecho_en.md b/docs/_posts/ahmedlone127/2024-09-15-testing_model_1_mikecho_en.md
new file mode 100644
index 00000000000000..d9861fdd02a1a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-testing_model_1_mikecho_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English testing_model_1_mikecho DistilBertForSequenceClassification from mikecho
+author: John Snow Labs
+name: testing_model_1_mikecho
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testing_model_1_mikecho` is a English model originally trained by mikecho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testing_model_1_mikecho_en_5.5.0_3.0_1726384946744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testing_model_1_mikecho_en_5.5.0_3.0_1726384946744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testing_model_1_mikecho|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mikecho/testing_model_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_pipeline_en.md
new file mode 100644
index 00000000000000..6a0d8952303ec8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_pipeline pipeline WhisperForCTC from saahith
+author: John Snow Labs
+name: tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_pipeline` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_pipeline_en_5.5.0_3.0_1726425325897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_pipeline_en_5.5.0_3.0_1726425325897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|394.8 MB|
+
+## References
+
+https://huggingface.co/saahith/tiny.en-combined_v4-4-0-8-1e-06-silver-sweep-32
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-trainer_chapter4_pbwauyo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-trainer_chapter4_pbwauyo_pipeline_en.md
new file mode 100644
index 00000000000000..a5a5896a0ea059
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-trainer_chapter4_pbwauyo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trainer_chapter4_pbwauyo_pipeline pipeline DistilBertForSequenceClassification from pbwauyo
+author: John Snow Labs
+name: trainer_chapter4_pbwauyo_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer_chapter4_pbwauyo_pipeline` is a English model originally trained by pbwauyo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer_chapter4_pbwauyo_pipeline_en_5.5.0_3.0_1726366336693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer_chapter4_pbwauyo_pipeline_en_5.5.0_3.0_1726366336693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trainer_chapter4_pbwauyo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trainer_chapter4_pbwauyo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainer_chapter4_pbwauyo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pbwauyo/trainer-chapter4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-trainer_chapter4_peachman_en.md b/docs/_posts/ahmedlone127/2024-09-15-trainer_chapter4_peachman_en.md
new file mode 100644
index 00000000000000..c16fea1304136b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-trainer_chapter4_peachman_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trainer_chapter4_peachman DistilBertForSequenceClassification from Peachman
+author: John Snow Labs
+name: trainer_chapter4_peachman
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer_chapter4_peachman` is a English model originally trained by Peachman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer_chapter4_peachman_en_5.5.0_3.0_1726365832069.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer_chapter4_peachman_en_5.5.0_3.0_1726365832069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainer_chapter4_peachman|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Peachman/trainer-chapter4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-trainer_chapter4_peachman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-trainer_chapter4_peachman_pipeline_en.md
new file mode 100644
index 00000000000000..9ced3273d9af06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-trainer_chapter4_peachman_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trainer_chapter4_peachman_pipeline pipeline DistilBertForSequenceClassification from Peachman
+author: John Snow Labs
+name: trainer_chapter4_peachman_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer_chapter4_peachman_pipeline` is a English model originally trained by Peachman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer_chapter4_peachman_pipeline_en_5.5.0_3.0_1726365844312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer_chapter4_peachman_pipeline_en_5.5.0_3.0_1726365844312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trainer_chapter4_peachman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trainer_chapter4_peachman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainer_chapter4_peachman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Peachman/trainer-chapter4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-w_m_lang_german_set_english_en.md b/docs/_posts/ahmedlone127/2024-09-15-w_m_lang_german_set_english_en.md
new file mode 100644
index 00000000000000..47382ae3cd913f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-w_m_lang_german_set_english_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English w_m_lang_german_set_english WhisperForCTC from xbilek25
+author: John Snow Labs
+name: w_m_lang_german_set_english
+date: 2024-09-15
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`w_m_lang_german_set_english` is a English model originally trained by xbilek25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/w_m_lang_german_set_english_en_5.5.0_3.0_1726426351224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/w_m_lang_german_set_english_en_5.5.0_3.0_1726426351224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|w_m_lang_german_set_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|4.8 GB|
+
+## References
+
+https://huggingface.co/xbilek25/w-m-lang_de-set_en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whipser_small_r3_aug_length_penalty_n1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-whipser_small_r3_aug_length_penalty_n1_pipeline_en.md
new file mode 100644
index 00000000000000..f5a40961553867
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whipser_small_r3_aug_length_penalty_n1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whipser_small_r3_aug_length_penalty_n1_pipeline pipeline WhisperForCTC from spsither
+author: John Snow Labs
+name: whipser_small_r3_aug_length_penalty_n1_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whipser_small_r3_aug_length_penalty_n1_pipeline` is a English model originally trained by spsither.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whipser_small_r3_aug_length_penalty_n1_pipeline_en_5.5.0_3.0_1726424943546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whipser_small_r3_aug_length_penalty_n1_pipeline_en_5.5.0_3.0_1726424943546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whipser_small_r3_aug_length_penalty_n1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whipser_small_r3_aug_length_penalty_n1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whipser_small_r3_aug_length_penalty_n1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/spsither/whipser-small-r3-aug-length-penalty_n1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_asr_atc_v5_en.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_asr_atc_v5_en.md
new file mode 100644
index 00000000000000..e5bcd4c4605106
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_asr_atc_v5_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_asr_atc_v5 WhisperForCTC from AshtonLKY
+author: John Snow Labs
+name: whisper_asr_atc_v5
+date: 2024-09-15
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_asr_atc_v5` is a English model originally trained by AshtonLKY.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_asr_atc_v5_en_5.5.0_3.0_1726387944720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_asr_atc_v5_en_5.5.0_3.0_1726387944720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_hadiqa123|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/hadiqa123/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_paula_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_paula_pipeline_en.md
new file mode 100644
index 00000000000000..fafae9131a83f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_paula_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_paula_pipeline pipeline WhisperForCTC from leenag
+author: John Snow Labs
+name: whisper_small_paula_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_paula_pipeline` is a English model originally trained by leenag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_paula_pipeline_en_5.5.0_3.0_1726390390247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_paula_pipeline_en_5.5.0_3.0_1726390390247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_paula_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_paula_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_paula_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/leenag/whisper-small-paula
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_polish_bardsai_pipeline_pl.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_polish_bardsai_pipeline_pl.md
new file mode 100644
index 00000000000000..878c9f176d0087
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_polish_bardsai_pipeline_pl.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Polish whisper_small_polish_bardsai_pipeline pipeline WhisperForCTC from bardsai
+author: John Snow Labs
+name: whisper_small_polish_bardsai_pipeline
+date: 2024-09-15
+tags: [pl, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: pl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_polish_bardsai_pipeline` is a Polish model originally trained by bardsai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_polish_bardsai_pipeline_pl_5.5.0_3.0_1726391506338.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_polish_bardsai_pipeline_pl_5.5.0_3.0_1726391506338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_polish_bardsai_pipeline", lang = "pl")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_polish_bardsai_pipeline", lang = "pl")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_polish_bardsai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pl|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/bardsai/whisper-small-pl
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_ukrainian_nikes64_pipeline_uk.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_ukrainian_nikes64_pipeline_uk.md
new file mode 100644
index 00000000000000..e8810138a36f2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_ukrainian_nikes64_pipeline_uk.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Ukrainian whisper_small_ukrainian_nikes64_pipeline pipeline WhisperForCTC from nikes64
+author: John Snow Labs
+name: whisper_small_ukrainian_nikes64_pipeline
+date: 2024-09-15
+tags: [uk, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: uk
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_ukrainian_nikes64_pipeline` is a Ukrainian model originally trained by nikes64.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_ukrainian_nikes64_pipeline_uk_5.5.0_3.0_1726420601998.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_ukrainian_nikes64_pipeline_uk_5.5.0_3.0_1726420601998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_ukrainian_nikes64_pipeline", lang = "uk")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_ukrainian_nikes64_pipeline", lang = "uk")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_ukrainian_nikes64_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|uk|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/nikes64/whisper-small-uk
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_urdu_aosaf_en.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_urdu_aosaf_en.md
new file mode 100644
index 00000000000000..35e38522924eea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_urdu_aosaf_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_urdu_aosaf WhisperForCTC from aosaf
+author: John Snow Labs
+name: whisper_small_urdu_aosaf
+date: 2024-09-15
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_urdu_aosaf` is a English model originally trained by aosaf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_urdu_aosaf_en_5.5.0_3.0_1726427156310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_urdu_aosaf_en_5.5.0_3.0_1726427156310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_urdu_aosaf|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/aosaf/whisper-small-urdu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_georgian_01_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_georgian_01_pipeline_en.md
new file mode 100644
index 00000000000000..77c1493541abb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_georgian_01_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_georgian_01_pipeline pipeline WhisperForCTC from GiorgiSekhniashvili
+author: John Snow Labs
+name: whisper_tiny_georgian_01_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_georgian_01_pipeline` is a English model originally trained by GiorgiSekhniashvili.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_georgian_01_pipeline_en_5.5.0_3.0_1726425493465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_georgian_01_pipeline_en_5.5.0_3.0_1726425493465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_georgian_01_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_georgian_01_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_georgian_01_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|391.3 MB|
+
+## References
+
+https://huggingface.co/GiorgiSekhniashvili/whisper-tiny-ka-01
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisperasr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-whisperasr_pipeline_en.md
new file mode 100644
index 00000000000000..e6c26f629b1eae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisperasr_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisperasr_pipeline pipeline WhisperForCTC from GodsonNtungi
+author: John Snow Labs
+name: whisperasr_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisperasr_pipeline` is a English model originally trained by GodsonNtungi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisperasr_pipeline_en_5.5.0_3.0_1726419387710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisperasr_pipeline_en_5.5.0_3.0_1726419387710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisperasr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisperasr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisperasr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/GodsonNtungi/whisperasr
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_english_leotunganh_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_english_leotunganh_en.md
new file mode 100644
index 00000000000000..2a61b51c5b694e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_english_leotunganh_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_leotunganh XlmRoBertaForTokenClassification from LeoTungAnh
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_leotunganh
+date: 2024-09-15
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_leotunganh` is a English model originally trained by LeoTungAnh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_leotunganh_en_5.5.0_3.0_1726361575250.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_leotunganh_en_5.5.0_3.0_1726361575250.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_leotunganh|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|813.6 MB|
+
+## References
+
+https://huggingface.co/LeoTungAnh/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_french_cogsci13_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_french_cogsci13_en.md
new file mode 100644
index 00000000000000..43797b5e7eaa87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_french_cogsci13_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_cogsci13 XlmRoBertaForTokenClassification from cogsci13
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_cogsci13
+date: 2024-09-15
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_cogsci13` is a English model originally trained by cogsci13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_cogsci13_en_5.5.0_3.0_1726398141275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_cogsci13_en_5.5.0_3.0_1726398141275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_cogsci13|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/cogsci13/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_dasooo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_dasooo_pipeline_en.md
new file mode 100644
index 00000000000000..647557c58a8118
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_dasooo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_dasooo_pipeline pipeline XlmRoBertaForTokenClassification from daSooo
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_dasooo_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_dasooo_pipeline` is a English model originally trained by daSooo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_dasooo_pipeline_en_5.5.0_3.0_1726362143587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_dasooo_pipeline_en_5.5.0_3.0_1726362143587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_dasooo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_dasooo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_dasooo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/daSooo/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_tatsunori_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_tatsunori_en.md
new file mode 100644
index 00000000000000..49320d99aa66d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_tatsunori_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_tatsunori XlmRoBertaForTokenClassification from tatsunori
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_tatsunori
+date: 2024-09-15
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_tatsunori` is a English model originally trained by tatsunori.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_tatsunori_en_5.5.0_3.0_1726370246962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_tatsunori_en_5.5.0_3.0_1726370246962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_tatsunori|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/tatsunori/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlmroberta_2nd_finetune_epru_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlmroberta_2nd_finetune_epru_pipeline_en.md
new file mode 100644
index 00000000000000..0db64dc2eda42c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlmroberta_2nd_finetune_epru_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlmroberta_2nd_finetune_epru_pipeline pipeline XlmRoBertaForSequenceClassification from mmillet
+author: John Snow Labs
+name: xlmroberta_2nd_finetune_epru_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmroberta_2nd_finetune_epru_pipeline` is a English model originally trained by mmillet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmroberta_2nd_finetune_epru_pipeline_en_5.5.0_3.0_1726434377575.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmroberta_2nd_finetune_epru_pipeline_en_5.5.0_3.0_1726434377575.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmroberta_2nd_finetune_epru_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmroberta_2nd_finetune_epru_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_2nd_finetune_epru_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|847.9 MB|
+
+## References
+
+https://huggingface.co/mmillet/xlmroberta-2nd-finetune-epru
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-za_lid_bert_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-15-za_lid_bert_pipeline_xx.md
new file mode 100644
index 00000000000000..fe37079cc964ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-za_lid_bert_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual za_lid_bert_pipeline pipeline BertForSequenceClassification from dsfsi
+author: John Snow Labs
+name: za_lid_bert_pipeline
+date: 2024-09-15
+tags: [xx, open_source, pipeline, onnx]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`za_lid_bert_pipeline` is a Multilingual model originally trained by dsfsi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/za_lid_bert_pipeline_xx_5.5.0_3.0_1726375764099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/za_lid_bert_pipeline_xx_5.5.0_3.0_1726375764099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("za_lid_bert_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("za_lid_bert_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|za_lid_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/dsfsi/za-lid-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-440fc6ae_75a5_4a7e_a238_65e06e620a59_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-440fc6ae_75a5_4a7e_a238_65e06e620a59_pipeline_en.md
new file mode 100644
index 00000000000000..9884319413f73a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-440fc6ae_75a5_4a7e_a238_65e06e620a59_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 440fc6ae_75a5_4a7e_a238_65e06e620a59_pipeline pipeline RoBertaForSequenceClassification from IDQO
+author: John Snow Labs
+name: 440fc6ae_75a5_4a7e_a238_65e06e620a59_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`440fc6ae_75a5_4a7e_a238_65e06e620a59_pipeline` is a English model originally trained by IDQO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/440fc6ae_75a5_4a7e_a238_65e06e620a59_pipeline_en_5.5.0_3.0_1726527969361.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/440fc6ae_75a5_4a7e_a238_65e06e620a59_pipeline_en_5.5.0_3.0_1726527969361.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("440fc6ae_75a5_4a7e_a238_65e06e620a59_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("440fc6ae_75a5_4a7e_a238_65e06e620a59_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|440fc6ae_75a5_4a7e_a238_65e06e620a59_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.0 MB|
+
+## References
+
+https://huggingface.co/IDQO/440fc6ae-75a5-4a7e-a238-65e06e620a59
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-afriberta_base_finetuned_igbo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-afriberta_base_finetuned_igbo_pipeline_en.md
new file mode 100644
index 00000000000000..8778edea79e5ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-afriberta_base_finetuned_igbo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English afriberta_base_finetuned_igbo_pipeline pipeline XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: afriberta_base_finetuned_igbo_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afriberta_base_finetuned_igbo_pipeline` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afriberta_base_finetuned_igbo_pipeline_en_5.5.0_3.0_1726496386944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afriberta_base_finetuned_igbo_pipeline_en_5.5.0_3.0_1726496386944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("afriberta_base_finetuned_igbo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("afriberta_base_finetuned_igbo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afriberta_base_finetuned_igbo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|415.3 MB|
+
+## References
+
+https://huggingface.co/grace-pro/afriberta-base-finetuned-igbo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-age_prediction_en.md b/docs/_posts/ahmedlone127/2024-09-16-age_prediction_en.md
new file mode 100644
index 00000000000000..d5f2f2a8a65f72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-age_prediction_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English age_prediction BertForSequenceClassification from ayaenna
+author: John Snow Labs
+name: age_prediction
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`age_prediction` is a English model originally trained by ayaenna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/age_prediction_en_5.5.0_3.0_1726463165399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/age_prediction_en_5.5.0_3.0_1726463165399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|age_prediction|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/ayaenna/Age_Prediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-albert_model_03_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-albert_model_03_pipeline_en.md
new file mode 100644
index 00000000000000..46fd509f009fdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-albert_model_03_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_model_03_pipeline pipeline DistilBertForSequenceClassification from KalaiselvanD
+author: John Snow Labs
+name: albert_model_03_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_model_03_pipeline` is a English model originally trained by KalaiselvanD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_model_03_pipeline_en_5.5.0_3.0_1726506523033.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_model_03_pipeline_en_5.5.0_3.0_1726506523033.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_model_03_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_model_03_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_model_03_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KalaiselvanD/albert_model_03
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_base_japanese_basic_char_v2_cyberbullying_ja.md b/docs/_posts/ahmedlone127/2024-09-16-bert_base_japanese_basic_char_v2_cyberbullying_ja.md
new file mode 100644
index 00000000000000..5b4b3728c320ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_base_japanese_basic_char_v2_cyberbullying_ja.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Japanese bert_base_japanese_basic_char_v2_cyberbullying BertForSequenceClassification from kit-nlp
+author: John Snow Labs
+name: bert_base_japanese_basic_char_v2_cyberbullying
+date: 2024-09-16
+tags: [ja, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: ja
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_japanese_basic_char_v2_cyberbullying` is a Japanese model originally trained by kit-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_japanese_basic_char_v2_cyberbullying_ja_5.5.0_3.0_1726462622909.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_japanese_basic_char_v2_cyberbullying_ja_5.5.0_3.0_1726462622909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_squad_chessmen|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Chessmen/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bsc_bio_ehr_spanish_socialdisner_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-16-bsc_bio_ehr_spanish_socialdisner_pipeline_es.md
new file mode 100644
index 00000000000000..1beaecf8e9383e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bsc_bio_ehr_spanish_socialdisner_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish bsc_bio_ehr_spanish_socialdisner_pipeline pipeline RoBertaForTokenClassification from IIC
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_socialdisner_pipeline
+date: 2024-09-16
+tags: [es, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_socialdisner_pipeline` is a Castilian, Spanish model originally trained by IIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_socialdisner_pipeline_es_5.5.0_3.0_1726482683215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_socialdisner_pipeline_es_5.5.0_3.0_1726482683215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bsc_bio_ehr_spanish_socialdisner_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bsc_bio_ehr_spanish_socialdisner_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_socialdisner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|439.0 MB|
+
+## References
+
+https://huggingface.co/IIC/bsc-bio-ehr-es-socialdisner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bsc_bio_ehr_spanish_vih_10k_en.md b/docs/_posts/ahmedlone127/2024-09-16-bsc_bio_ehr_spanish_vih_10k_en.md
new file mode 100644
index 00000000000000..27f65da3c18a63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bsc_bio_ehr_spanish_vih_10k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bsc_bio_ehr_spanish_vih_10k RoBertaForSequenceClassification from Wariano
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_vih_10k
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_vih_10k` is a English model originally trained by Wariano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_vih_10k_en_5.5.0_3.0_1726518562799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_vih_10k_en_5.5.0_3.0_1726518562799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_vih_10k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|448.9 MB|
+
+## References
+
+https://huggingface.co/Wariano/bsc-bio-ehr-es-vih-10k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_amazon_model_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_amazon_model_en.md
new file mode 100644
index 00000000000000..bd257d965cfc7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_amazon_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_amazon_model DistilBertForSequenceClassification from thaodao3101
+author: John Snow Labs
+name: burmese_amazon_model
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_amazon_model` is a English model originally trained by thaodao3101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_amazon_model_en_5.5.0_3.0_1726506503584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_amazon_model_en_5.5.0_3.0_1726506503584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_amazon_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thaodao3101/my_amazon_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_model_panzy0524_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_model_panzy0524_en.md
new file mode 100644
index 00000000000000..7e6088a0099223
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_model_panzy0524_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_panzy0524 DistilBertForSequenceClassification from panzy0524
+author: John Snow Labs
+name: burmese_awesome_model_panzy0524
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_panzy0524` is a English model originally trained by panzy0524.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_panzy0524_en_5.5.0_3.0_1726506712294.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_panzy0524_en_5.5.0_3.0_1726506712294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_cuongtk2002|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/cuongtk2002/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_reyeb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_reyeb_pipeline_en.md
new file mode 100644
index 00000000000000..8b77a234f5e2aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_reyeb_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_reyeb_pipeline pipeline DistilBertForQuestionAnswering from reyeb
+author: John Snow Labs
+name: burmese_awesome_qa_model_reyeb_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_reyeb_pipeline` is a English model originally trained by reyeb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_reyeb_pipeline_en_5.5.0_3.0_1726515112590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_reyeb_pipeline_en_5.5.0_3.0_1726515112590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_reyeb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_reyeb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_reyeb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/reyeb/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-classification_2_messing_around_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-classification_2_messing_around_pipeline_en.md
new file mode 100644
index 00000000000000..1182e1c2781faf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-classification_2_messing_around_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English classification_2_messing_around_pipeline pipeline DistilBertForSequenceClassification from Pranavsenthilvel
+author: John Snow Labs
+name: classification_2_messing_around_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classification_2_messing_around_pipeline` is a English model originally trained by Pranavsenthilvel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classification_2_messing_around_pipeline_en_5.5.0_3.0_1726506812765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classification_2_messing_around_pipeline_en_5.5.0_3.0_1726506812765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("classification_2_messing_around_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("classification_2_messing_around_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classification_2_messing_around_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Pranavsenthilvel/classification-2-messing-around
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-clinical_mobilebert_i2b2_2010_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-clinical_mobilebert_i2b2_2010_pipeline_en.md
new file mode 100644
index 00000000000000..9e64060019d327
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-clinical_mobilebert_i2b2_2010_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English clinical_mobilebert_i2b2_2010_pipeline pipeline BertForTokenClassification from nlpie
+author: John Snow Labs
+name: clinical_mobilebert_i2b2_2010_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clinical_mobilebert_i2b2_2010_pipeline` is a English model originally trained by nlpie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinical_mobilebert_i2b2_2010_pipeline_en_5.5.0_3.0_1726461150611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinical_mobilebert_i2b2_2010_pipeline_en_5.5.0_3.0_1726461150611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clinical_mobilebert_i2b2_2010_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clinical_mobilebert_i2b2_2010_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinical_mobilebert_i2b2_2010_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|92.6 MB|
+
+## References
+
+https://huggingface.co/nlpie/clinical-mobilebert-i2b2-2010
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-code_human_ai_en.md b/docs/_posts/ahmedlone127/2024-09-16-code_human_ai_en.md
new file mode 100644
index 00000000000000..ebf6dcbd40841a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-code_human_ai_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English code_human_ai RoBertaForSequenceClassification from lebretou
+author: John Snow Labs
+name: code_human_ai
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`code_human_ai` is a English model originally trained by lebretou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/code_human_ai_en_5.5.0_3.0_1726526913231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/code_human_ai_en_5.5.0_3.0_1726526913231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|code_human_ai|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|458.6 MB|
+
+## References
+
+https://huggingface.co/lebretou/code-human-ai
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-cyber_thread_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-cyber_thread_pipeline_en.md
new file mode 100644
index 00000000000000..c0cecc07fa6b3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-cyber_thread_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cyber_thread_pipeline pipeline RoBertaForTokenClassification from Cyber-ThreaD
+author: John Snow Labs
+name: cyber_thread_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cyber_thread_pipeline` is a English model originally trained by Cyber-ThreaD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cyber_thread_pipeline_en_5.5.0_3.0_1726452462998.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cyber_thread_pipeline_en_5.5.0_3.0_1726452462998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cyber_thread_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cyber_thread_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cyber_thread_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|311.5 MB|
+
+## References
+
+https://huggingface.co/Cyber-ThreaD/Cyber-ThreaD
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-danish_roberta_babe_ft_en.md b/docs/_posts/ahmedlone127/2024-09-16-danish_roberta_babe_ft_en.md
new file mode 100644
index 00000000000000..fdcc4438b74078
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-danish_roberta_babe_ft_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English danish_roberta_babe_ft RoBertaForSequenceClassification from mediabiasgroup
+author: John Snow Labs
+name: danish_roberta_babe_ft
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`danish_roberta_babe_ft` is a English model originally trained by mediabiasgroup.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/danish_roberta_babe_ft_en_5.5.0_3.0_1726505363667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/danish_roberta_babe_ft_en_5.5.0_3.0_1726505363667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|danish_roberta_babe_ft|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|454.8 MB|
+
+## References
+
+https://huggingface.co/mediabiasgroup/da-roberta-babe-ft
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-danish_roberta_babe_ft_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-danish_roberta_babe_ft_pipeline_en.md
new file mode 100644
index 00000000000000..04b7e987d5400c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-danish_roberta_babe_ft_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English danish_roberta_babe_ft_pipeline pipeline RoBertaForSequenceClassification from mediabiasgroup
+author: John Snow Labs
+name: danish_roberta_babe_ft_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`danish_roberta_babe_ft_pipeline` is a English model originally trained by mediabiasgroup.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/danish_roberta_babe_ft_pipeline_en_5.5.0_3.0_1726505385189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/danish_roberta_babe_ft_pipeline_en_5.5.0_3.0_1726505385189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("danish_roberta_babe_ft_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("danish_roberta_babe_ft_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|danish_roberta_babe_ft_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|454.9 MB|
+
+## References
+
+https://huggingface.co/mediabiasgroup/da-roberta-babe-ft
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_qa_mash_covid_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_qa_mash_covid_pipeline_en.md
new file mode 100644
index 00000000000000..37cf7550e016b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_qa_mash_covid_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_cased_qa_mash_covid_pipeline pipeline DistilBertForQuestionAnswering from Eurosmart
+author: John Snow Labs
+name: distilbert_base_cased_qa_mash_covid_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_qa_mash_covid_pipeline` is a English model originally trained by Eurosmart.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_qa_mash_covid_pipeline_en_5.5.0_3.0_1726515430520.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_qa_mash_covid_pipeline_en_5.5.0_3.0_1726515430520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_cased_qa_mash_covid_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_cased_qa_mash_covid_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_qa_mash_covid_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Eurosmart/distilbert-base-cased-qa-mash-covid
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_ccon_mypersonality_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_ccon_mypersonality_pipeline_en.md
new file mode 100644
index 00000000000000..c99bfe5866316e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_ccon_mypersonality_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_ccon_mypersonality_pipeline pipeline DistilBertForSequenceClassification from holistic-ai
+author: John Snow Labs
+name: distilbert_base_uncased_ccon_mypersonality_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ccon_mypersonality_pipeline` is a English model originally trained by holistic-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ccon_mypersonality_pipeline_en_5.5.0_3.0_1726525732169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ccon_mypersonality_pipeline_en_5.5.0_3.0_1726525732169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_ccon_mypersonality_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_ccon_mypersonality_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ccon_mypersonality_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/holistic-ai/distilbert-base-uncased_cCON_mypersonality
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_cardosoccc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_cardosoccc_pipeline_en.md
new file mode 100644
index 00000000000000..3bfdb998228777
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_cardosoccc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cardosoccc_pipeline pipeline DistilBertForSequenceClassification from cardosoccc
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cardosoccc_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cardosoccc_pipeline` is a English model originally trained by cardosoccc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cardosoccc_pipeline_en_5.5.0_3.0_1726525485874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cardosoccc_pipeline_en_5.5.0_3.0_1726525485874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_cardosoccc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_cardosoccc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cardosoccc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cardosoccc/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_superguo_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_superguo_en.md
new file mode 100644
index 00000000000000..04c4d8e33691d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_superguo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_superguo DistilBertForSequenceClassification from superguo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_superguo
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_superguo` is a English model originally trained by superguo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_superguo_en_5.5.0_3.0_1726506679711.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_superguo_en_5.5.0_3.0_1726506679711.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_superguo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/superguo/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_tw13023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_tw13023_pipeline_en.md
new file mode 100644
index 00000000000000..dd253b07049465
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_tw13023_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_tw13023_pipeline pipeline DistilBertForSequenceClassification from tw13023
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_tw13023_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tw13023_pipeline` is a English model originally trained by tw13023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tw13023_pipeline_en_5.5.0_3.0_1726525830433.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tw13023_pipeline_en_5.5.0_3.0_1726525830433.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_tw13023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_tw13023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_tw13023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tw13023/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_keerthana12_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_keerthana12_en.md
new file mode 100644
index 00000000000000..42284c02a0ac04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_keerthana12_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_keerthana12 DistilBertForQuestionAnswering from Keerthana12
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_keerthana12
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_keerthana12` is a English model originally trained by Keerthana12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_keerthana12_en_5.5.0_3.0_1726515132025.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_keerthana12_en_5.5.0_3.0_1726515132025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_keerthana12|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Keerthana12/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_kubba_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_kubba_pipeline_en.md
new file mode 100644
index 00000000000000..f35737bd7b4bba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_kubba_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_kubba_pipeline pipeline DistilBertForQuestionAnswering from Kubba
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_kubba_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_kubba_pipeline` is a English model originally trained by Kubba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_kubba_pipeline_en_5.5.0_3.0_1726515637726.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_kubba_pipeline_en_5.5.0_3.0_1726515637726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_kubba_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_kubba_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_kubba_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Kubba/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_maguitai_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_maguitai_en.md
new file mode 100644
index 00000000000000..b1466273fb2c5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_maguitai_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_maguitai DistilBertForQuestionAnswering from maguitai
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_maguitai
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_maguitai` is a English model originally trained by maguitai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_maguitai_en_5.5.0_3.0_1726515222694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_maguitai_en_5.5.0_3.0_1726515222694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_maguitai|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/maguitai/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..e650fd32d3a2d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_pipeline_en_5.5.0_3.0_1726506136470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_pipeline_en_5.5.0_3.0_1726506136470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st30sd_ut72ut1_PLPrefix0stlarge30_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-fakenews_roberta_base_stopwords_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-fakenews_roberta_base_stopwords_pipeline_en.md
new file mode 100644
index 00000000000000..aa6e1fb0c8095b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-fakenews_roberta_base_stopwords_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fakenews_roberta_base_stopwords_pipeline pipeline RoBertaForSequenceClassification from Denyol
+author: John Snow Labs
+name: fakenews_roberta_base_stopwords_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fakenews_roberta_base_stopwords_pipeline` is a English model originally trained by Denyol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenews_roberta_base_stopwords_pipeline_en_5.5.0_3.0_1726456169006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenews_roberta_base_stopwords_pipeline_en_5.5.0_3.0_1726456169006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fakenews_roberta_base_stopwords_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fakenews_roberta_base_stopwords_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenews_roberta_base_stopwords_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|434.7 MB|
+
+## References
+
+https://huggingface.co/Denyol/FakeNews-roberta-base-stopwords
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_ariabert_fa.md b/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_ariabert_fa.md
new file mode 100644
index 00000000000000..6fe8adb1f641ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_ariabert_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian fine_tuned_ariabert RoBertaForSequenceClassification from iMahdiGhazavi
+author: John Snow Labs
+name: fine_tuned_ariabert
+date: 2024-09-16
+tags: [fa, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_ariabert` is a Persian model originally trained by iMahdiGhazavi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_ariabert_fa_5.5.0_3.0_1726527690454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_ariabert_fa_5.5.0_3.0_1726527690454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_roberta_large_custom|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Glow-01/finetuned_roberta_large_custom
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-gsarti_opus_maltese_tc_english_polish_opus100_accelerate_finetune_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-gsarti_opus_maltese_tc_english_polish_opus100_accelerate_finetune_pipeline_en.md
new file mode 100644
index 00000000000000..1e52ddbf5848ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-gsarti_opus_maltese_tc_english_polish_opus100_accelerate_finetune_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gsarti_opus_maltese_tc_english_polish_opus100_accelerate_finetune_pipeline pipeline MarianTransformer from MikolajDeja
+author: John Snow Labs
+name: gsarti_opus_maltese_tc_english_polish_opus100_accelerate_finetune_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gsarti_opus_maltese_tc_english_polish_opus100_accelerate_finetune_pipeline` is a English model originally trained by MikolajDeja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gsarti_opus_maltese_tc_english_polish_opus100_accelerate_finetune_pipeline_en_5.5.0_3.0_1726491368907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gsarti_opus_maltese_tc_english_polish_opus100_accelerate_finetune_pipeline_en_5.5.0_3.0_1726491368907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gsarti_opus_maltese_tc_english_polish_opus100_accelerate_finetune_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gsarti_opus_maltese_tc_english_polish_opus100_accelerate_finetune_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gsarti_opus_maltese_tc_english_polish_opus100_accelerate_finetune_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|538.0 MB|
+
+## References
+
+https://huggingface.co/MikolajDeja/gsarti-opus-mt-tc-en-pl-opus100-accelerate-finetune
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-gtts_updated_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-gtts_updated_pipeline_en.md
new file mode 100644
index 00000000000000..5144e079a1a3d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-gtts_updated_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English gtts_updated_pipeline pipeline WhisperForCTC from SamagraDataGov
+author: John Snow Labs
+name: gtts_updated_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gtts_updated_pipeline` is a English model originally trained by SamagraDataGov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gtts_updated_pipeline_en_5.5.0_3.0_1726479436231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gtts_updated_pipeline_en_5.5.0_3.0_1726479436231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gtts_updated_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gtts_updated_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gtts_updated_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/SamagraDataGov/gtts-updated
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-hatebertimbau_yt_tatar_pt.md b/docs/_posts/ahmedlone127/2024-09-16-hatebertimbau_yt_tatar_pt.md
new file mode 100644
index 00000000000000..a48d886d8d4913
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-hatebertimbau_yt_tatar_pt.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Portuguese hatebertimbau_yt_tatar BertForSequenceClassification from knowhate
+author: John Snow Labs
+name: hatebertimbau_yt_tatar
+date: 2024-09-16
+tags: [pt, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hatebertimbau_yt_tatar` is a Portuguese model originally trained by knowhate.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hatebertimbau_yt_tatar_pt_5.5.0_3.0_1726492774698.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hatebertimbau_yt_tatar_pt_5.5.0_3.0_1726492774698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helsinki_danish_swedish_v5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|497.6 MB|
+
+## References
+
+https://huggingface.co/Danieljacobsen/Helsinki-DA-SV-v5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-helsinki_danish_swedish_v5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-helsinki_danish_swedish_v5_pipeline_en.md
new file mode 100644
index 00000000000000..f0b60f39aac9b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-helsinki_danish_swedish_v5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English helsinki_danish_swedish_v5_pipeline pipeline MarianTransformer from Danieljacobsen
+author: John Snow Labs
+name: helsinki_danish_swedish_v5_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helsinki_danish_swedish_v5_pipeline` is a English model originally trained by Danieljacobsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v5_pipeline_en_5.5.0_3.0_1726457293498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v5_pipeline_en_5.5.0_3.0_1726457293498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("helsinki_danish_swedish_v5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("helsinki_danish_swedish_v5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helsinki_danish_swedish_v5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|498.1 MB|
+
+## References
+
+https://huggingface.co/Danieljacobsen/Helsinki-DA-SV-v5
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-iad_hw_nlp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-iad_hw_nlp_pipeline_en.md
new file mode 100644
index 00000000000000..e64eab42398b1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-iad_hw_nlp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English iad_hw_nlp_pipeline pipeline MarianTransformer from kokarevklepa
+author: John Snow Labs
+name: iad_hw_nlp_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iad_hw_nlp_pipeline` is a English model originally trained by kokarevklepa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iad_hw_nlp_pipeline_en_5.5.0_3.0_1726491683468.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iad_hw_nlp_pipeline_en_5.5.0_3.0_1726491683468.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("iad_hw_nlp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("iad_hw_nlp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|iad_hw_nlp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|524.8 MB|
+
+## References
+
+https://huggingface.co/kokarevklepa/iad_hw_nlp
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-lab1_finetuning_ryanzzzzz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-lab1_finetuning_ryanzzzzz_pipeline_en.md
new file mode 100644
index 00000000000000..e632f37e5e3071
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-lab1_finetuning_ryanzzzzz_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lab1_finetuning_ryanzzzzz_pipeline pipeline MarianTransformer from RyanZZZZZ
+author: John Snow Labs
+name: lab1_finetuning_ryanzzzzz_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab1_finetuning_ryanzzzzz_pipeline` is a English model originally trained by RyanZZZZZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_finetuning_ryanzzzzz_pipeline_en_5.5.0_3.0_1726465390838.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_finetuning_ryanzzzzz_pipeline_en_5.5.0_3.0_1726465390838.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab1_finetuning_ryanzzzzz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab1_finetuning_ryanzzzzz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_finetuning_ryanzzzzz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.8 MB|
+
+## References
+
+https://huggingface.co/RyanZZZZZ/lab1_finetuning
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-maltese_ach_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-maltese_ach_english_pipeline_en.md
new file mode 100644
index 00000000000000..f7d42ec1249bf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-maltese_ach_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English maltese_ach_english_pipeline pipeline MarianTransformer from Ogayo
+author: John Snow Labs
+name: maltese_ach_english_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`maltese_ach_english_pipeline` is a English model originally trained by Ogayo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maltese_ach_english_pipeline_en_5.5.0_3.0_1726465284740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maltese_ach_english_pipeline_en_5.5.0_3.0_1726465284740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("maltese_ach_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("maltese_ach_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maltese_ach_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/Ogayo/mt-ach-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_goldsj221_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_goldsj221_pipeline_en.md
new file mode 100644
index 00000000000000..f475eb14bb2245
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_goldsj221_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_goldsj221_pipeline pipeline MarianTransformer from goldsj221
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_goldsj221_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_goldsj221_pipeline` is a English model originally trained by goldsj221.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_goldsj221_pipeline_en_5.5.0_3.0_1726465820898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_goldsj221_pipeline_en_5.5.0_3.0_1726465820898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_goldsj221_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_goldsj221_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_goldsj221_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/goldsj221/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_en.md
new file mode 100644
index 00000000000000..be8d6aa9e8859c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906 MarianTransformer from maki198906
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906` is a English model originally trained by maki198906.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_en_5.5.0_3.0_1726490813950.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_en_5.5.0_3.0_1726490813950.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.1 MB|
+
+## References
+
+https://huggingface.co/maki198906/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_pipeline_en.md
new file mode 100644
index 00000000000000..918a9648930a97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_pipeline pipeline MarianTransformer from maki198906
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_pipeline` is a English model originally trained by maki198906.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_pipeline_en_5.5.0_3.0_1726490838706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_pipeline_en_5.5.0_3.0_1726490838706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_maki198906_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/maki198906/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_japanese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_japanese_pipeline_en.md
new file mode 100644
index 00000000000000..5d1524f18c375c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_japanese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_japanese_pipeline pipeline MarianTransformer from amacbee
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_japanese_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_japanese_pipeline` is a English model originally trained by amacbee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_japanese_pipeline_en_5.5.0_3.0_1726491022114.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_japanese_pipeline_en_5.5.0_3.0_1726491022114.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_japanese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_japanese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_japanese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|430.8 MB|
+
+## References
+
+https://huggingface.co/amacbee/marian-finetuned-kde4-en-to-ja
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marianmix_english_japanese_10_en.md b/docs/_posts/ahmedlone127/2024-09-16-marianmix_english_japanese_10_en.md
new file mode 100644
index 00000000000000..f6110c3aaf30fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marianmix_english_japanese_10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marianmix_english_japanese_10 MarianTransformer from DeskDown
+author: John Snow Labs
+name: marianmix_english_japanese_10
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marianmix_english_japanese_10` is a English model originally trained by DeskDown.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marianmix_english_japanese_10_en_5.5.0_3.0_1726458204985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marianmix_english_japanese_10_en_5.5.0_3.0_1726458204985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marianmix_english_japanese_10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|723.3 MB|
+
+## References
+
+https://huggingface.co/DeskDown/MarianMix_en-ja-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marianmix_english_japanese_10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marianmix_english_japanese_10_pipeline_en.md
new file mode 100644
index 00000000000000..f609d51fe9b508
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marianmix_english_japanese_10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marianmix_english_japanese_10_pipeline pipeline MarianTransformer from DeskDown
+author: John Snow Labs
+name: marianmix_english_japanese_10_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marianmix_english_japanese_10_pipeline` is a English model originally trained by DeskDown.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marianmix_english_japanese_10_pipeline_en_5.5.0_3.0_1726458238406.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marianmix_english_japanese_10_pipeline_en_5.5.0_3.0_1726458238406.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marianmix_english_japanese_10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marianmix_english_japanese_10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marianmix_english_japanese_10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|723.8 MB|
+
+## References
+
+https://huggingface.co/DeskDown/MarianMix_en-ja-10
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-medianews_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-medianews_ner_pipeline_en.md
new file mode 100644
index 00000000000000..964fc84f5f4a50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-medianews_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English medianews_ner_pipeline pipeline XlmRoBertaForTokenClassification from rocketraccoon342
+author: John Snow Labs
+name: medianews_ner_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medianews_ner_pipeline` is a English model originally trained by rocketraccoon342.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medianews_ner_pipeline_en_5.5.0_3.0_1726495121290.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medianews_ner_pipeline_en_5.5.0_3.0_1726495121290.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("medianews_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("medianews_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medianews_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|812.6 MB|
+
+## References
+
+https://huggingface.co/rocketraccoon342/medianews-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-mix2_japanese_english_helsinki_en.md b/docs/_posts/ahmedlone127/2024-09-16-mix2_japanese_english_helsinki_en.md
new file mode 100644
index 00000000000000..65f9e86111fc14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-mix2_japanese_english_helsinki_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mix2_japanese_english_helsinki MarianTransformer from twieland
+author: John Snow Labs
+name: mix2_japanese_english_helsinki
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mix2_japanese_english_helsinki` is a English model originally trained by twieland.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mix2_japanese_english_helsinki_en_5.5.0_3.0_1726465198803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mix2_japanese_english_helsinki_en_5.5.0_3.0_1726465198803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mix2_japanese_english_helsinki|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|517.7 MB|
+
+## References
+
+https://huggingface.co/twieland/MIX2_ja-en_helsinki
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-model_router_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-model_router_pipeline_en.md
new file mode 100644
index 00000000000000..ff599c40910f8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-model_router_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_router_pipeline pipeline DistilBertForSequenceClassification from marklicata
+author: John Snow Labs
+name: model_router_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_router_pipeline` is a English model originally trained by marklicata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_router_pipeline_en_5.5.0_3.0_1726506517671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_router_pipeline_en_5.5.0_3.0_1726506517671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_router_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_router_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_router_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/marklicata/model_router
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-nofibot2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-nofibot2_pipeline_en.md
new file mode 100644
index 00000000000000..041b35e2429943
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-nofibot2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English nofibot2_pipeline pipeline DistilBertForQuestionAnswering from aslakeinbu
+author: John Snow Labs
+name: nofibot2_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nofibot2_pipeline` is a English model originally trained by aslakeinbu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nofibot2_pipeline_en_5.5.0_3.0_1726515256706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nofibot2_pipeline_en_5.5.0_3.0_1726515256706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nofibot2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nofibot2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nofibot2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/aslakeinbu/nofibot2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-nykaa_sentiment_model_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-nykaa_sentiment_model_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..de7aa73069f5b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-nykaa_sentiment_model_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nykaa_sentiment_model_distilbert_pipeline pipeline DistilBertForSequenceClassification from sivaranjanisundarraj
+author: John Snow Labs
+name: nykaa_sentiment_model_distilbert_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nykaa_sentiment_model_distilbert_pipeline` is a English model originally trained by sivaranjanisundarraj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nykaa_sentiment_model_distilbert_pipeline_en_5.5.0_3.0_1726525822641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nykaa_sentiment_model_distilbert_pipeline_en_5.5.0_3.0_1726525822641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nykaa_sentiment_model_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nykaa_sentiment_model_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nykaa_sentiment_model_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sivaranjanisundarraj/nykaa-sentiment-model-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_weege007_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_weege007_en.md
new file mode 100644
index 00000000000000..27abc4fe463e28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_weege007_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_weege007 MarianTransformer from weege007
+author: John Snow Labs
+name: opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_weege007
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_weege007` is a English model originally trained by weege007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_weege007_en_5.5.0_3.0_1726465202228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_weege007_en_5.5.0_3.0_1726465202228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_weege007|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|540.8 MB|
+
+## References
+
+https://huggingface.co/weege007/opus-mt-en-zh-finetuned-en-to-zh
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_pipeline_en.md
new file mode 100644
index 00000000000000..4ac951abb2ed3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_pipeline pipeline MarianTransformer from Achuka
+author: John Snow Labs
+name: opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_pipeline` is a English model originally trained by Achuka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_pipeline_en_5.5.0_3.0_1726457664335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_pipeline_en_5.5.0_3.0_1726457664335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|513.8 MB|
+
+## References
+
+https://huggingface.co/Achuka/opus-mt-en-lg-finetuned-en-to-lg
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_en.md
new file mode 100644
index 00000000000000..aa306e53dc01f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss MarianTransformer from yonathanstwn
+author: John Snow Labs
+name: opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss` is a English model originally trained by yonathanstwn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_en_5.5.0_3.0_1726491335113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_en_5.5.0_3.0_1726491335113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|481.6 MB|
+
+## References
+
+https://huggingface.co/yonathanstwn/opus-mt-en-id-ccmatrix-lr-4-best-loss
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_pipeline_en.md
new file mode 100644
index 00000000000000..22c40a6b539426
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_pipeline pipeline MarianTransformer from yonathanstwn
+author: John Snow Labs
+name: opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_pipeline` is a English model originally trained by yonathanstwn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_pipeline_en_5.5.0_3.0_1726491358765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_pipeline_en_5.5.0_3.0_1726491358765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_indonesian_ccmatrix_lr_4_best_loss_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|482.1 MB|
+
+## References
+
+https://huggingface.co/yonathanstwn/opus-mt-en-id-ccmatrix-lr-4-best-loss
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_ft_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_ft_3_pipeline_en.md
new file mode 100644
index 00000000000000..03a99ee8976c49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_ft_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_ft_3_pipeline pipeline MarianTransformer from abdiharyadi
+author: John Snow Labs
+name: opus_maltese_ft_3_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_ft_3_pipeline` is a English model originally trained by abdiharyadi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_ft_3_pipeline_en_5.5.0_3.0_1726457192117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_ft_3_pipeline_en_5.5.0_3.0_1726457192117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_ft_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_ft_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_ft_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|482.7 MB|
+
+## References
+
+https://huggingface.co/abdiharyadi/opus-mt-ft-3
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_ft_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_ft_5_pipeline_en.md
new file mode 100644
index 00000000000000..e930d0e9b9002d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_ft_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_ft_5_pipeline pipeline MarianTransformer from abdiharyadi
+author: John Snow Labs
+name: opus_maltese_ft_5_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_ft_5_pipeline` is a English model originally trained by abdiharyadi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_ft_5_pipeline_en_5.5.0_3.0_1726509954571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_ft_5_pipeline_en_5.5.0_3.0_1726509954571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_ft_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_ft_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_ft_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|482.6 MB|
+
+## References
+
+https://huggingface.co/abdiharyadi/opus-mt-ft-5
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_en.md
new file mode 100644
index 00000000000000..298a41a7430ed7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english MarianTransformer from stopdoingmath
+author: John Snow Labs
+name: opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english` is a English model originally trained by stopdoingmath.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_en_5.5.0_3.0_1726490820621.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_en_5.5.0_3.0_1726490820621.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|505.5 MB|
+
+## References
+
+https://huggingface.co/stopdoingmath/opus-mt-sla-en-finetuned-uk-to-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-othe_2_en.md b/docs/_posts/ahmedlone127/2024-09-16-othe_2_en.md
new file mode 100644
index 00000000000000..ca05c04dfcbe35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-othe_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English othe_2 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: othe_2
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`othe_2` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/othe_2_en_5.5.0_3.0_1726518901385.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/othe_2_en_5.5.0_3.0_1726518901385.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|othe_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/BaronSch/Othe_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-parapred_english_french_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-parapred_english_french_pipeline_en.md
new file mode 100644
index 00000000000000..038ee448f64348
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-parapred_english_french_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English parapred_english_french_pipeline pipeline MarianTransformer from Ghani-25
+author: John Snow Labs
+name: parapred_english_french_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`parapred_english_french_pipeline` is a English model originally trained by Ghani-25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/parapred_english_french_pipeline_en_5.5.0_3.0_1726494150124.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/parapred_english_french_pipeline_en_5.5.0_3.0_1726494150124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("parapred_english_french_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("parapred_english_french_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|parapred_english_french_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.0 MB|
+
+## References
+
+https://huggingface.co/Ghani-25/parapred_en_fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-platzi_distilroberta_base_mrpc_glue_tommasory_en.md b/docs/_posts/ahmedlone127/2024-09-16-platzi_distilroberta_base_mrpc_glue_tommasory_en.md
new file mode 100644
index 00000000000000..2aa93fb73cbde9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-platzi_distilroberta_base_mrpc_glue_tommasory_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_tommasory RoBertaForSequenceClassification from tommasory
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_tommasory
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_glue_tommasory` is a English model originally trained by tommasory.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_tommasory_en_5.5.0_3.0_1726471122885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_tommasory_en_5.5.0_3.0_1726471122885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue_tommasory|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/tommasory/platzi-distilroberta-base-mrpc-glue-tommasory
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-quantifying_stereotype_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-quantifying_stereotype_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..7e9f0db0b4d19b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-quantifying_stereotype_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English quantifying_stereotype_distilbert_pipeline pipeline DistilBertForSequenceClassification from lauyon
+author: John Snow Labs
+name: quantifying_stereotype_distilbert_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quantifying_stereotype_distilbert_pipeline` is a English model originally trained by lauyon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quantifying_stereotype_distilbert_pipeline_en_5.5.0_3.0_1726525738802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quantifying_stereotype_distilbert_pipeline_en_5.5.0_3.0_1726525738802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("quantifying_stereotype_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("quantifying_stereotype_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quantifying_stereotype_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/lauyon/quantifying-stereotype-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_leandroaraujodev_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_leandroaraujodev_en.md
new file mode 100644
index 00000000000000..3c088ec45c9450
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_leandroaraujodev_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_leandroaraujodev RoBertaForSequenceClassification from leandroaraujodev
+author: John Snow Labs
+name: roberta_base_leandroaraujodev
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_leandroaraujodev` is a English model originally trained by leandroaraujodev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_leandroaraujodev_en_5.5.0_3.0_1726527149011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_leandroaraujodev_en_5.5.0_3.0_1726527149011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_leandroaraujodev|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.3 MB|
+
+## References
+
+https://huggingface.co/leandroaraujodev/roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_binary_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_binary_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..5848e83c771ad9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_binary_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_binary_classifier_pipeline pipeline RoBertaForSequenceClassification from uhhlt
+author: John Snow Labs
+name: roberta_binary_classifier_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_binary_classifier_pipeline` is a English model originally trained by uhhlt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_binary_classifier_pipeline_en_5.5.0_3.0_1726471567736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_binary_classifier_pipeline_en_5.5.0_3.0_1726471567736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_binary_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_binary_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_binary_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/uhhlt/roberta-binary-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_finetuned_abbr_weightdecay0_0001_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_finetuned_abbr_weightdecay0_0001_en.md
new file mode 100644
index 00000000000000..2a4cb47c87efdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_finetuned_abbr_weightdecay0_0001_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_finetuned_abbr_weightdecay0_0001 RoBertaForTokenClassification from karsimkh
+author: John Snow Labs
+name: roberta_large_finetuned_abbr_weightdecay0_0001
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_abbr_weightdecay0_0001` is a English model originally trained by karsimkh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_abbr_weightdecay0_0001_en_5.5.0_3.0_1726452805580.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_abbr_weightdecay0_0001_en_5.5.0_3.0_1726452805580.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_ancient_chinese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|430.5 MB|
+
+## References
+
+https://huggingface.co/Jihuai/bert-ancient-chinese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sent_minilm_l_12_stackoverflow_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-sent_minilm_l_12_stackoverflow_pipeline_en.md
new file mode 100644
index 00000000000000..d413f5d1c43f42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sent_minilm_l_12_stackoverflow_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_minilm_l_12_stackoverflow_pipeline pipeline BertSentenceEmbeddings from M-Chimiste
+author: John Snow Labs
+name: sent_minilm_l_12_stackoverflow_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_minilm_l_12_stackoverflow_pipeline` is a English model originally trained by M-Chimiste.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_minilm_l_12_stackoverflow_pipeline_en_5.5.0_3.0_1726501167127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_minilm_l_12_stackoverflow_pipeline_en_5.5.0_3.0_1726501167127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_minilm_l_12_stackoverflow_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_minilm_l_12_stackoverflow_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_minilm_l_12_stackoverflow_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|125.2 MB|
+
+## References
+
+https://huggingface.co/M-Chimiste/MiniLM-L-12-StackOverflow
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-stego_classifier_checkpoint_epoch_71_start_exp_time_en.md b/docs/_posts/ahmedlone127/2024-09-16-stego_classifier_checkpoint_epoch_71_start_exp_time_en.md
new file mode 100644
index 00000000000000..f20b74b893f51d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-stego_classifier_checkpoint_epoch_71_start_exp_time_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_71_start_exp_time DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_71_start_exp_time
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_71_start_exp_time` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_71_start_exp_time_en_5.5.0_3.0_1726525225126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_71_start_exp_time_en_5.5.0_3.0_1726525225126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_71_start_exp_time|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-71-START_EXP_TIME
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-stego_classifier_checkpoint_epoch_71_start_exp_time_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-stego_classifier_checkpoint_epoch_71_start_exp_time_pipeline_en.md
new file mode 100644
index 00000000000000..2bdfc898466aa7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-stego_classifier_checkpoint_epoch_71_start_exp_time_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_71_start_exp_time_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_71_start_exp_time_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_71_start_exp_time_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_71_start_exp_time_pipeline_en_5.5.0_3.0_1726525237370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_71_start_exp_time_pipeline_en_5.5.0_3.0_1726525237370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_71_start_exp_time_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_71_start_exp_time_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_71_start_exp_time_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-71-START_EXP_TIME
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-test_trainer_enyonam_en.md b/docs/_posts/ahmedlone127/2024-09-16-test_trainer_enyonam_en.md
new file mode 100644
index 00000000000000..d2b6f19ff2b633
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-test_trainer_enyonam_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_trainer_enyonam RoBertaForSequenceClassification from Enyonam
+author: John Snow Labs
+name: test_trainer_enyonam
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_trainer_enyonam` is a English model originally trained by Enyonam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_enyonam_en_5.5.0_3.0_1726470485650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_enyonam_en_5.5.0_3.0_1726470485650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_enyonam|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|424.8 MB|
+
+## References
+
+https://huggingface.co/Enyonam/test_trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-twitter_roberta_base_dec2021_tweet_topic_single_2020_en.md b/docs/_posts/ahmedlone127/2024-09-16-twitter_roberta_base_dec2021_tweet_topic_single_2020_en.md
new file mode 100644
index 00000000000000..7e88449a361161
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-twitter_roberta_base_dec2021_tweet_topic_single_2020_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2021_tweet_topic_single_2020 RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2021_tweet_topic_single_2020
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_dec2021_tweet_topic_single_2020` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_tweet_topic_single_2020_en_5.5.0_3.0_1726505124775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_tweet_topic_single_2020_en_5.5.0_3.0_1726505124775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_dec2021_tweet_topic_single_2020|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2021-tweet-topic-single-2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-verbnet_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-verbnet_train_pipeline_en.md
new file mode 100644
index 00000000000000..72baaeeb23ffe0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-verbnet_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English verbnet_train_pipeline pipeline RoBertaForTokenClassification from gguichard
+author: John Snow Labs
+name: verbnet_train_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`verbnet_train_pipeline` is a English model originally trained by gguichard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/verbnet_train_pipeline_en_5.5.0_3.0_1726530051649.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/verbnet_train_pipeline_en_5.5.0_3.0_1726530051649.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("verbnet_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("verbnet_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|verbnet_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/gguichard/verbnet_train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_medium_ckb_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_medium_ckb_en.md
new file mode 100644
index 00000000000000..ad0c288f6699cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_medium_ckb_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_medium_ckb WhisperForCTC from roseman
+author: John Snow Labs
+name: whisper_medium_ckb
+date: 2024-09-16
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_medium_ckb` is a English model originally trained by roseman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_medium_ckb_en_5.5.0_3.0_1726477602569.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_medium_ckb_en_5.5.0_3.0_1726477602569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_medium_ckb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|4.8 GB|
+
+## References
+
+https://huggingface.co/roseman/whisper-medium-ckb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_hindi_sr1ncvs_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_hindi_sr1ncvs_pipeline_hi.md
new file mode 100644
index 00000000000000..46fa689a5c3b15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_hindi_sr1ncvs_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_sr1ncvs_pipeline pipeline WhisperForCTC from sr1ncvs
+author: John Snow Labs
+name: whisper_small_hindi_sr1ncvs_pipeline
+date: 2024-09-16
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_sr1ncvs_pipeline` is a Hindi model originally trained by sr1ncvs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_sr1ncvs_pipeline_hi_5.5.0_3.0_1726476339507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_sr1ncvs_pipeline_hi_5.5.0_3.0_1726476339507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_sr1ncvs_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_sr1ncvs_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_sr1ncvs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|390.0 MB|
+
+## References
+
+https://huggingface.co/sr1ncvs/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_punjabi_eastern_in_pipeline_pa.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_punjabi_eastern_in_pipeline_pa.md
new file mode 100644
index 00000000000000..3123cf98a8c076
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_punjabi_eastern_in_pipeline_pa.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Panjabi, Punjabi whisper_small_punjabi_eastern_in_pipeline pipeline WhisperForCTC from shripadbhat
+author: John Snow Labs
+name: whisper_small_punjabi_eastern_in_pipeline
+date: 2024-09-16
+tags: [pa, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: pa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_punjabi_eastern_in_pipeline` is a Panjabi, Punjabi model originally trained by shripadbhat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_punjabi_eastern_in_pipeline_pa_5.5.0_3.0_1726476534286.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_punjabi_eastern_in_pipeline_pa_5.5.0_3.0_1726476534286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_punjabi_eastern_in_pipeline", lang = "pa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_punjabi_eastern_in_pipeline", lang = "pa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_punjabi_eastern_in_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pa|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/shripadbhat/whisper-small-pa-IN
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_seiching_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_seiching_pipeline_zh.md
new file mode 100644
index 00000000000000..a2d3a168a3121b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_seiching_pipeline_zh.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Chinese whisper_small_seiching_pipeline pipeline WhisperForCTC from seiching
+author: John Snow Labs
+name: whisper_small_seiching_pipeline
+date: 2024-09-16
+tags: [zh, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_seiching_pipeline` is a Chinese model originally trained by seiching.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_seiching_pipeline_zh_5.5.0_3.0_1726478724924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_seiching_pipeline_zh_5.5.0_3.0_1726478724924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_seiching_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_seiching_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_seiching_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/seiching/whisper-small-seiching
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_fy.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_fy.md
new file mode 100644
index 00000000000000..028c4db01805c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_fy.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Western Frisian whisper_small_western_frisian_dutch_transfer_from_english_polixonrio WhisperForCTC from polixonrio
+author: John Snow Labs
+name: whisper_small_western_frisian_dutch_transfer_from_english_polixonrio
+date: 2024-09-16
+tags: [fy, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: fy
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_western_frisian_dutch_transfer_from_english_polixonrio` is a Western Frisian model originally trained by polixonrio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_fy_5.5.0_3.0_1726485114236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_fy_5.5.0_3.0_1726485114236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_western_frisian_dutch_transfer_from_english_polixonrio|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|fy|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/polixonrio/whisper-small-fy-NL-Transfer-From-EN
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_marc_19964_samples_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_marc_19964_samples_en.md
new file mode 100644
index 00000000000000..98866a4dd54d3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_marc_19964_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_marc_19964_samples XlmRoBertaForSequenceClassification from lewtun
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_marc_19964_samples
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_marc_19964_samples` is a English model originally trained by lewtun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_19964_samples_en_5.5.0_3.0_1726516517288.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_19964_samples_en_5.5.0_3.0_1726516517288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_marc_19964_samples|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|850.2 MB|
+
+## References
+
+https://huggingface.co/lewtun/xlm-roberta-base-finetuned-marc-19964-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_en.md
new file mode 100644
index 00000000000000..a6241c23129270
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_laurentiustancioiu XlmRoBertaForTokenClassification from LaurentiuStancioiu
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_laurentiustancioiu
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_laurentiustancioiu` is a English model originally trained by LaurentiuStancioiu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_en_5.5.0_3.0_1726497507039.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_en_5.5.0_3.0_1726497507039.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_laurentiustancioiu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/LaurentiuStancioiu/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_chediak6_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_chediak6_en.md
new file mode 100644
index 00000000000000..b48b8cc0645d2e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_chediak6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_chediak6 XlmRoBertaForTokenClassification from chediak6
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_chediak6
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_chediak6` is a English model originally trained by chediak6.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_chediak6_en_5.5.0_3.0_1726497818246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_chediak6_en_5.5.0_3.0_1726497818246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_chediak6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/chediak6/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_msrisrujan_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_msrisrujan_en.md
new file mode 100644
index 00000000000000..4a131daefe3045
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_msrisrujan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_msrisrujan XlmRoBertaForTokenClassification from Msrisrujan
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_msrisrujan
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_msrisrujan` is a English model originally trained by Msrisrujan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_msrisrujan_en_5.5.0_3.0_1726497662727.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_msrisrujan_en_5.5.0_3.0_1726497662727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_msrisrujan|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.1 MB|
+
+## References
+
+https://huggingface.co/Msrisrujan/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_en.md
new file mode 100644
index 00000000000000..b4b2fa25597c0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118 XlmRoBertaForTokenClassification from yoyoyo1118
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118` is a English model originally trained by yoyoyo1118.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_en_5.5.0_3.0_1726495198082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_en_5.5.0_3.0_1726495198082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/yoyoyo1118/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_pockypocky_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_pockypocky_pipeline_en.md
new file mode 100644
index 00000000000000..62f469761404af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_pockypocky_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_pockypocky_pipeline pipeline XlmRoBertaForTokenClassification from pockypocky
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_pockypocky_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_pockypocky_pipeline` is a English model originally trained by pockypocky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_pockypocky_pipeline_en_5.5.0_3.0_1726495852562.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_pockypocky_pipeline_en_5.5.0_3.0_1726495852562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_pockypocky_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_pockypocky_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_pockypocky_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|816.8 MB|
+
+## References
+
+https://huggingface.co/pockypocky/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_qa_squad2_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_qa_squad2_en.md
new file mode 100644
index 00000000000000..259983b7cb8ced
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_qa_squad2_en.md
@@ -0,0 +1,99 @@
+---
+layout: model
+title: English XlmRoBertaForQuestionAnswering model (from deepset)
+author: John Snow Labs
+name: xlm_roberta_base_qa_squad2
+date: 2024-09-16
+tags: [open_source, xlmroberta, question_answering, en, openvino]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: openvino
+annotator: XlmRoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `xlm-roberta-base-squad2` is a English model originally trained by `deepset`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_qa_squad2_en_5.5.0_3.0_1726530418750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_qa_squad2_en_5.5.0_3.0_1726530418750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = XlmRoBertaForQuestionAnswering.pretrained("xlm_roberta_base_qa_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = XlmRoBertaForQuestionAnswering.pretrained("xlm_roberta_base_qa_squad2","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.xlm_roberta.base").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_qa_squad2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[token, document]|
+|Output Labels:|[label]|
+|Language:|en|
+|Size:|874.1 MB|
+|Case sensitive:|true|
+
+## References
+
+References
+
+https://huggingface.co/deepset/xlm-roberta-base-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlmr_nepali_english_all_shuffled_2020_test1000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlmr_nepali_english_all_shuffled_2020_test1000_pipeline_en.md
new file mode 100644
index 00000000000000..89fe9139c22af1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlmr_nepali_english_all_shuffled_2020_test1000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlmr_nepali_english_all_shuffled_2020_test1000_pipeline pipeline XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_nepali_english_all_shuffled_2020_test1000_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_nepali_english_all_shuffled_2020_test1000_pipeline` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_nepali_english_all_shuffled_2020_test1000_pipeline_en_5.5.0_3.0_1726517159971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_nepali_english_all_shuffled_2020_test1000_pipeline_en_5.5.0_3.0_1726517159971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmr_nepali_english_all_shuffled_2020_test1000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmr_nepali_english_all_shuffled_2020_test1000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_nepali_english_all_shuffled_2020_test1000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|819.2 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-ne-en-all_shuffled-2020-test1000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlmr_sinhalese_english_norwegian_shuffled_orig_test1000_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlmr_sinhalese_english_norwegian_shuffled_orig_test1000_en.md
new file mode 100644
index 00000000000000..a85726feb7bb8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlmr_sinhalese_english_norwegian_shuffled_orig_test1000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_sinhalese_english_norwegian_shuffled_orig_test1000 XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_sinhalese_english_norwegian_shuffled_orig_test1000
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_sinhalese_english_norwegian_shuffled_orig_test1000` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_sinhalese_english_norwegian_shuffled_orig_test1000_en_5.5.0_3.0_1726516149256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_sinhalese_english_norwegian_shuffled_orig_test1000_en_5.5.0_3.0_1726516149256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|09_distilbert_qa_pytorch_full|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/tyavika/09-Distilbert-QA-Pytorch-FULL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-adept_roberta_l_en.md b/docs/_posts/ahmedlone127/2024-09-17-adept_roberta_l_en.md
new file mode 100644
index 00000000000000..e097c88f34ad03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-adept_roberta_l_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English adept_roberta_l RoBertaForSequenceClassification from veronica320
+author: John Snow Labs
+name: adept_roberta_l
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adept_roberta_l` is a English model originally trained by veronica320.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adept_roberta_l_en_5.5.0_3.0_1726592004228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adept_roberta_l_en_5.5.0_3.0_1726592004228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adress|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|641.7 MB|
+
+## References
+
+https://huggingface.co/CHEONINJEONG/Adress
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-afro_xlmr_base_hausa_seed_20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-afro_xlmr_base_hausa_seed_20_pipeline_en.md
new file mode 100644
index 00000000000000..a7fef5d09f61d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-afro_xlmr_base_hausa_seed_20_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English afro_xlmr_base_hausa_seed_20_pipeline pipeline XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: afro_xlmr_base_hausa_seed_20_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afro_xlmr_base_hausa_seed_20_pipeline` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_hausa_seed_20_pipeline_en_5.5.0_3.0_1726577283688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_hausa_seed_20_pipeline_en_5.5.0_3.0_1726577283688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("afro_xlmr_base_hausa_seed_20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("afro_xlmr_base_hausa_seed_20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afro_xlmr_base_hausa_seed_20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/grace-pro/afro-xlmr-base-hausa-seed-20
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-albert_base_v2_finetuned_emotion_niktasadr98_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-albert_base_v2_finetuned_emotion_niktasadr98_pipeline_en.md
new file mode 100644
index 00000000000000..cbc1b56adc6708
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-albert_base_v2_finetuned_emotion_niktasadr98_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_base_v2_finetuned_emotion_niktasadr98_pipeline pipeline AlbertForSequenceClassification from niktasadr98
+author: John Snow Labs
+name: albert_base_v2_finetuned_emotion_niktasadr98_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_v2_finetuned_emotion_niktasadr98_pipeline` is a English model originally trained by niktasadr98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_v2_finetuned_emotion_niktasadr98_pipeline_en_5.5.0_3.0_1726601267139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_v2_finetuned_emotion_niktasadr98_pipeline_en_5.5.0_3.0_1726601267139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_base_v2_finetuned_emotion_niktasadr98_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_base_v2_finetuned_emotion_niktasadr98_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_v2_finetuned_emotion_niktasadr98_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/niktasadr98/albert-base-v2-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-albert_base_v2_fold_1_en.md b/docs/_posts/ahmedlone127/2024-09-17-albert_base_v2_fold_1_en.md
new file mode 100644
index 00000000000000..089f4517c5a79f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-albert_base_v2_fold_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_base_v2_fold_1 AlbertForSequenceClassification from research-dump
+author: John Snow Labs
+name: albert_base_v2_fold_1
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_v2_fold_1` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_v2_fold_1_en_5.5.0_3.0_1726614133167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_v2_fold_1_en_5.5.0_3.0_1726614133167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_v2_fold_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/research-dump/albert-base-v2_fold_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-albert_base_v2_fold_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-albert_base_v2_fold_1_pipeline_en.md
new file mode 100644
index 00000000000000..10fe05f832347d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-albert_base_v2_fold_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_base_v2_fold_1_pipeline pipeline AlbertForSequenceClassification from research-dump
+author: John Snow Labs
+name: albert_base_v2_fold_1_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_v2_fold_1_pipeline` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_v2_fold_1_pipeline_en_5.5.0_3.0_1726614135610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_v2_fold_1_pipeline_en_5.5.0_3.0_1726614135610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_base_v2_fold_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_base_v2_fold_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_v2_fold_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/research-dump/albert-base-v2_fold_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-albert_large_v2_fold_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-albert_large_v2_fold_0_pipeline_en.md
new file mode 100644
index 00000000000000..367fcb81c2fd9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-albert_large_v2_fold_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_large_v2_fold_0_pipeline pipeline AlbertForSequenceClassification from research-dump
+author: John Snow Labs
+name: albert_large_v2_fold_0_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_large_v2_fold_0_pipeline` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_large_v2_fold_0_pipeline_en_5.5.0_3.0_1726601216358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_large_v2_fold_0_pipeline_en_5.5.0_3.0_1726601216358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_large_v2_fold_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_large_v2_fold_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_large_v2_fold_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|66.7 MB|
+
+## References
+
+https://huggingface.co/research-dump/albert-large-v2_fold_0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-albert_model_indukurs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-albert_model_indukurs_pipeline_en.md
new file mode 100644
index 00000000000000..8996446a663f9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-albert_model_indukurs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_model_indukurs_pipeline pipeline AlbertForSequenceClassification from indukurs
+author: John Snow Labs
+name: albert_model_indukurs_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_model_indukurs_pipeline` is a English model originally trained by indukurs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_model_indukurs_pipeline_en_5.5.0_3.0_1726601193977.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_model_indukurs_pipeline_en_5.5.0_3.0_1726601193977.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_model_indukurs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_model_indukurs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_model_indukurs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/indukurs/albert_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-all_roberta_large_v1_home_8_16_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-all_roberta_large_v1_home_8_16_5_pipeline_en.md
new file mode 100644
index 00000000000000..f9a3f0e1e677d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-all_roberta_large_v1_home_8_16_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_home_8_16_5_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_home_8_16_5_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_home_8_16_5_pipeline` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_home_8_16_5_pipeline_en_5.5.0_3.0_1726591032061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_home_8_16_5_pipeline_en_5.5.0_3.0_1726591032061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_roberta_large_v1_home_8_16_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_home_8_16_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_home_8_16_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-home-8-16-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-autotrain_sachin_test_summarizer_55107128705_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-autotrain_sachin_test_summarizer_55107128705_pipeline_en.md
new file mode 100644
index 00000000000000..a2296261ef8b2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-autotrain_sachin_test_summarizer_55107128705_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_sachin_test_summarizer_55107128705_pipeline pipeline DistilBertForSequenceClassification from Sachinkelenjaguri
+author: John Snow Labs
+name: autotrain_sachin_test_summarizer_55107128705_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_sachin_test_summarizer_55107128705_pipeline` is a English model originally trained by Sachinkelenjaguri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_sachin_test_summarizer_55107128705_pipeline_en_5.5.0_3.0_1726584202272.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_sachin_test_summarizer_55107128705_pipeline_en_5.5.0_3.0_1726584202272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_sachin_test_summarizer_55107128705_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_sachin_test_summarizer_55107128705_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_sachin_test_summarizer_55107128705_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sachinkelenjaguri/autotrain-sachin-test-summarizer-55107128705
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bert_base_cased_chiranthans23_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-bert_base_cased_chiranthans23_pipeline_en.md
new file mode 100644
index 00000000000000..46efa4b399cbfe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bert_base_cased_chiranthans23_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_cased_chiranthans23_pipeline pipeline BertForQuestionAnswering from chiranthans23
+author: John Snow Labs
+name: bert_base_cased_chiranthans23_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_chiranthans23_pipeline` is a English model originally trained by chiranthans23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_chiranthans23_pipeline_en_5.5.0_3.0_1726567351855.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_chiranthans23_pipeline_en_5.5.0_3.0_1726567351855.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_chiranthans23_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_chiranthans23_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_chiranthans23_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/chiranthans23/bert-base-cased
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bert_base_cased_swe_historical_sv.md b/docs/_posts/ahmedlone127/2024-09-17-bert_base_cased_swe_historical_sv.md
new file mode 100644
index 00000000000000..62ff43fff0b586
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bert_base_cased_swe_historical_sv.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Swedish bert_base_cased_swe_historical BertEmbeddings from Riksarkivet
+author: John Snow Labs
+name: bert_base_cased_swe_historical
+date: 2024-09-17
+tags: [sv, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: sv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_swe_historical` is a Swedish model originally trained by Riksarkivet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_swe_historical_sv_5.5.0_3.0_1726588600736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_swe_historical_sv_5.5.0_3.0_1726588600736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_dutch_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Ztijn/bert-base-dutch-cased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bert_base_swedish_cased_sv2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-bert_base_swedish_cased_sv2_pipeline_en.md
new file mode 100644
index 00000000000000..be9a9ad857c8f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bert_base_swedish_cased_sv2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_swedish_cased_sv2_pipeline pipeline BertForQuestionAnswering from monakth
+author: John Snow Labs
+name: bert_base_swedish_cased_sv2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_swedish_cased_sv2_pipeline` is a English model originally trained by monakth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_swedish_cased_sv2_pipeline_en_5.5.0_3.0_1726567411184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_swedish_cased_sv2_pipeline_en_5.5.0_3.0_1726567411184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_swedish_cased_sv2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_swedish_cased_sv2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_swedish_cased_sv2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.2 MB|
+
+## References
+
+https://huggingface.co/monakth/bert-base-swedish-cased-sv2
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bert_clf_results_andyrasika_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-bert_clf_results_andyrasika_pipeline_en.md
new file mode 100644
index 00000000000000..0437ee64630ce3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bert_clf_results_andyrasika_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_clf_results_andyrasika_pipeline pipeline DistilBertForSequenceClassification from Andyrasika
+author: John Snow Labs
+name: bert_clf_results_andyrasika_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_clf_results_andyrasika_pipeline` is a English model originally trained by Andyrasika.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_clf_results_andyrasika_pipeline_en_5.5.0_3.0_1726593570845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_clf_results_andyrasika_pipeline_en_5.5.0_3.0_1726593570845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_clf_results_andyrasika_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_clf_results_andyrasika_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_clf_results_andyrasika_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.1 MB|
+
+## References
+
+https://huggingface.co/Andyrasika/bert_clf_results
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bert_vllm_gemma2b_stringmatcher_newdataset_3_en.md b/docs/_posts/ahmedlone127/2024-09-17-bert_vllm_gemma2b_stringmatcher_newdataset_3_en.md
new file mode 100644
index 00000000000000..c98c219860e177
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bert_vllm_gemma2b_stringmatcher_newdataset_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_vllm_gemma2b_stringmatcher_newdataset_3 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: bert_vllm_gemma2b_stringmatcher_newdataset_3
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_vllm_gemma2b_stringmatcher_newdataset_3` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_stringmatcher_newdataset_3_en_5.5.0_3.0_1726584247400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_stringmatcher_newdataset_3_en_5.5.0_3.0_1726584247400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cnj_v1_2__checkpoint_last|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|298.3 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/cnj_v1_2__checkpoint_last
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-ct_m1_bestloss_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-ct_m1_bestloss_pipeline_en.md
new file mode 100644
index 00000000000000..a745daedc3bdbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-ct_m1_bestloss_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ct_m1_bestloss_pipeline pipeline RoBertaEmbeddings from crisistransformers
+author: John Snow Labs
+name: ct_m1_bestloss_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ct_m1_bestloss_pipeline` is a English model originally trained by crisistransformers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ct_m1_bestloss_pipeline_en_5.5.0_3.0_1726595838035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ct_m1_bestloss_pipeline_en_5.5.0_3.0_1726595838035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ct_m1_bestloss_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ct_m1_bestloss_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ct_m1_bestloss_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|504.7 MB|
+
+## References
+
+https://huggingface.co/crisistransformers/CT-M1-BestLoss
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_cased_logdetective_extraction_retrained_jpodivin_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_cased_logdetective_extraction_retrained_jpodivin_pipeline_en.md
new file mode 100644
index 00000000000000..cfd1fcf6e813fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_cased_logdetective_extraction_retrained_jpodivin_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_cased_logdetective_extraction_retrained_jpodivin_pipeline pipeline DistilBertForQuestionAnswering from jpodivin
+author: John Snow Labs
+name: distilbert_base_cased_logdetective_extraction_retrained_jpodivin_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_logdetective_extraction_retrained_jpodivin_pipeline` is a English model originally trained by jpodivin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_logdetective_extraction_retrained_jpodivin_pipeline_en_5.5.0_3.0_1726555503671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_logdetective_extraction_retrained_jpodivin_pipeline_en_5.5.0_3.0_1726555503671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_cased_logdetective_extraction_retrained_jpodivin_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_cased_logdetective_extraction_retrained_jpodivin_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_logdetective_extraction_retrained_jpodivin_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.7 MB|
+
+## References
+
+https://huggingface.co/jpodivin/distilbert-base-cased-logdetective-extraction-retrained
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_cased_squad_v2_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_cased_squad_v2_en.md
new file mode 100644
index 00000000000000..7864696d9b0019
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_cased_squad_v2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_cased_squad_v2 DistilBertForQuestionAnswering from jysh1023
+author: John Snow Labs
+name: distilbert_base_cased_squad_v2
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_squad_v2` is a English model originally trained by jysh1023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_squad_v2_en_5.5.0_3.0_1726586749470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_squad_v2_en_5.5.0_3.0_1726586749470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_squad_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/jysh1023/distilbert-base-cased-squad-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_category_absa2016_laptop_v1_0_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_category_absa2016_laptop_v1_0_en.md
new file mode 100644
index 00000000000000..410b3d065ebbb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_category_absa2016_laptop_v1_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_category_absa2016_laptop_v1_0 DistilBertForSequenceClassification from rajat33
+author: John Snow Labs
+name: distilbert_base_uncased_category_absa2016_laptop_v1_0
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_category_absa2016_laptop_v1_0` is a English model originally trained by rajat33.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_category_absa2016_laptop_v1_0_en_5.5.0_3.0_1726584264995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_category_absa2016_laptop_v1_0_en_5.5.0_3.0_1726584264995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_squad_finetuned_squad_pminha|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|248.8 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-distilled-squad-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_emotion_small_sets_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_emotion_small_sets_en.md
new file mode 100644
index 00000000000000..a01603abb404d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_emotion_small_sets_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_small_sets DistilBertForSequenceClassification from A01794620
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_small_sets
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_small_sets` is a English model originally trained by A01794620.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_small_sets_en_5.5.0_3.0_1726594099227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_small_sets_en_5.5.0_3.0_1726594099227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_small_sets|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/A01794620/distilbert-base-uncased-finetuned-emotion-small-sets
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_emotion_thacwn_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_emotion_thacwn_en.md
new file mode 100644
index 00000000000000..7e236963b69e2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_emotion_thacwn_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_thacwn DistilBertForSequenceClassification from thacwn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_thacwn
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_thacwn` is a English model originally trained by thacwn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thacwn_en_5.5.0_3.0_1726584576704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thacwn_en_5.5.0_3.0_1726584576704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_hfdsajkfd|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/hfdsajkfd/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_liorba_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_liorba_pipeline_en.md
new file mode 100644
index 00000000000000..adfe4abbb84bbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_liorba_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_liorba_pipeline pipeline DistilBertForQuestionAnswering from liorba
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_liorba_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_liorba_pipeline` is a English model originally trained by liorba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_liorba_pipeline_en_5.5.0_3.0_1726574863068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_liorba_pipeline_en_5.5.0_3.0_1726574863068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_liorba_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_liorba_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_liorba_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/liorba/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_srnsrn120_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_srnsrn120_pipeline_en.md
new file mode 100644
index 00000000000000..0b0b992e245b35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_srnsrn120_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_srnsrn120_pipeline pipeline DistilBertForQuestionAnswering from srnsrn120
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_srnsrn120_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_srnsrn120_pipeline` is a English model originally trained by srnsrn120.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_srnsrn120_pipeline_en_5.5.0_3.0_1726555691316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_srnsrn120_pipeline_en_5.5.0_3.0_1726555691316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_srnsrn120_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_srnsrn120_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_srnsrn120_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/srnsrn120/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_test1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_test1_pipeline_en.md
new file mode 100644
index 00000000000000..fd85dbcf894b9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_test1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_test1_pipeline pipeline DistilBertForQuestionAnswering from allistair99
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_test1_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_test1_pipeline` is a English model originally trained by allistair99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_test1_pipeline_en_5.5.0_3.0_1726586470132.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_test1_pipeline_en_5.5.0_3.0_1726586470132.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_test1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_test1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_test1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/allistair99/distilbert-base-uncased-finetuned-squad-test1
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_transcripts_calls_tsipi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_transcripts_calls_tsipi_pipeline_en.md
new file mode 100644
index 00000000000000..48cf3709fadf47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_transcripts_calls_tsipi_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_transcripts_calls_tsipi_pipeline pipeline DistilBertForQuestionAnswering from Tsipi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_transcripts_calls_tsipi_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_transcripts_calls_tsipi_pipeline` is a English model originally trained by Tsipi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_transcripts_calls_tsipi_pipeline_en_5.5.0_3.0_1726574954324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_transcripts_calls_tsipi_pipeline_en_5.5.0_3.0_1726574954324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_transcripts_calls_tsipi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_transcripts_calls_tsipi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_transcripts_calls_tsipi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Tsipi/distilbert-base-uncased-finetuned-transcripts-calls
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_kallidavidson_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_kallidavidson_pipeline_en.md
new file mode 100644
index 00000000000000..e2ccc35eae8e6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_kallidavidson_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_kallidavidson_pipeline pipeline DistilBertForQuestionAnswering from kallidavidson
+author: John Snow Labs
+name: distilbert_base_uncased_kallidavidson_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_kallidavidson_pipeline` is a English model originally trained by kallidavidson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_kallidavidson_pipeline_en_5.5.0_3.0_1726586587415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_kallidavidson_pipeline_en_5.5.0_3.0_1726586587415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_kallidavidson_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_kallidavidson_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_kallidavidson_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/kallidavidson/distilbert-base-uncased
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1large19pfxnf_simsp400_clean200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1large19pfxnf_simsp400_clean200_pipeline_en.md
new file mode 100644
index 00000000000000..5bd252cc717d1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1large19pfxnf_simsp400_clean200_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1large19pfxnf_simsp400_clean200_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1large19pfxnf_simsp400_clean200_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1large19pfxnf_simsp400_clean200_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1large19pfxnf_simsp400_clean200_pipeline_en_5.5.0_3.0_1726593507775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1large19pfxnf_simsp400_clean200_pipeline_en_5.5.0_3.0_1726593507775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1large19pfxnf_simsp400_clean200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1large19pfxnf_simsp400_clean200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1large19pfxnf_simsp400_clean200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st19sd_ut72ut1large19PfxNf_simsp400_clean200
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_pruned_p25_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_pruned_p25_en.md
new file mode 100644
index 00000000000000..818dcc12762283
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_pruned_p25_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_pruned_p25 DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_pruned_p25
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_pruned_p25` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_pruned_p25_en_5.5.0_3.0_1726586613780.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_pruned_p25_en_5.5.0_3.0_1726586613780.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_pruned_p25|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|219.6 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-pruned-p25
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_emotion_emrahgunes_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_emotion_emrahgunes_en.md
new file mode 100644
index 00000000000000..568713e3380243
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_emotion_emrahgunes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_emotion_emrahgunes DistilBertForSequenceClassification from emrahgunes
+author: John Snow Labs
+name: distilbert_emotion_emrahgunes
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_emrahgunes` is a English model originally trained by emrahgunes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_emrahgunes_en_5.5.0_3.0_1726593635934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_emrahgunes_en_5.5.0_3.0_1726593635934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_emrahgunes|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/emrahgunes/distilbert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_finetuned_imdb_sentiment_vxnkyyyyy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_finetuned_imdb_sentiment_vxnkyyyyy_pipeline_en.md
new file mode 100644
index 00000000000000..317744260286b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_finetuned_imdb_sentiment_vxnkyyyyy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_finetuned_imdb_sentiment_vxnkyyyyy_pipeline pipeline DistilBertForSequenceClassification from Vxnkyyyyy
+author: John Snow Labs
+name: distilbert_finetuned_imdb_sentiment_vxnkyyyyy_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_imdb_sentiment_vxnkyyyyy_pipeline` is a English model originally trained by Vxnkyyyyy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_vxnkyyyyy_pipeline_en_5.5.0_3.0_1726584481563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_vxnkyyyyy_pipeline_en_5.5.0_3.0_1726584481563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_imdb_sentiment_vxnkyyyyy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_imdb_sentiment_vxnkyyyyy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_imdb_sentiment_vxnkyyyyy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Vxnkyyyyy/distilbert-finetuned-imdb-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_finetuned_squadv2_vietdo26_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_finetuned_squadv2_vietdo26_pipeline_en.md
new file mode 100644
index 00000000000000..ba65b43399d08a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_finetuned_squadv2_vietdo26_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_finetuned_squadv2_vietdo26_pipeline pipeline DistilBertForQuestionAnswering from VietDo26
+author: John Snow Labs
+name: distilbert_finetuned_squadv2_vietdo26_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_squadv2_vietdo26_pipeline` is a English model originally trained by VietDo26.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_vietdo26_pipeline_en_5.5.0_3.0_1726574826285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_vietdo26_pipeline_en_5.5.0_3.0_1726574826285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_squadv2_vietdo26_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_squadv2_vietdo26_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_squadv2_vietdo26_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/VietDo26/distilbert-finetuned-squadv2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_test_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_test_model_pipeline_en.md
new file mode 100644
index 00000000000000..5cdacbec7878bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_test_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_test_model_pipeline pipeline DistilBertForSequenceClassification from intern-test-org
+author: John Snow Labs
+name: distilbert_test_model_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_test_model_pipeline` is a English model originally trained by intern-test-org.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_test_model_pipeline_en_5.5.0_3.0_1726584362685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_test_model_pipeline_en_5.5.0_3.0_1726584362685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_test_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_test_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_test_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/intern-test-org/distilbert-test-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilled_bert_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilled_bert_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..8ccc68efc0e030
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilled_bert_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilled_bert_finetuned_squad_pipeline pipeline DistilBertForQuestionAnswering from momo345
+author: John Snow Labs
+name: distilled_bert_finetuned_squad_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilled_bert_finetuned_squad_pipeline` is a English model originally trained by momo345.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilled_bert_finetuned_squad_pipeline_en_5.5.0_3.0_1726575126417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilled_bert_finetuned_squad_pipeline_en_5.5.0_3.0_1726575126417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilled_bert_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilled_bert_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilled_bert_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/momo345/distilled-bert-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-extension_model_en.md b/docs/_posts/ahmedlone127/2024-09-17-extension_model_en.md
new file mode 100644
index 00000000000000..8537ffcb383a01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-extension_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English extension_model RoBertaForSequenceClassification from NFRD
+author: John Snow Labs
+name: extension_model
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`extension_model` is a English model originally trained by NFRD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/extension_model_en_5.5.0_3.0_1726591168441.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/extension_model_en_5.5.0_3.0_1726591168441.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|extension_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/NFRD/extension-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-fake_news_classifier_draip_en.md b/docs/_posts/ahmedlone127/2024-09-17-fake_news_classifier_draip_en.md
new file mode 100644
index 00000000000000..b38c621bbf62c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-fake_news_classifier_draip_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fake_news_classifier_draip DistilBertForSequenceClassification from DraiP
+author: John Snow Labs
+name: fake_news_classifier_draip
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_classifier_draip` is a English model originally trained by DraiP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_classifier_draip_en_5.5.0_3.0_1726584682514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_classifier_draip_en_5.5.0_3.0_1726584682514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_classifier_draip|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DraiP/Fake_News_Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-fine_tuned_albert_tweets_en.md b/docs/_posts/ahmedlone127/2024-09-17-fine_tuned_albert_tweets_en.md
new file mode 100644
index 00000000000000..7cb280265a5a41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-fine_tuned_albert_tweets_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_albert_tweets AlbertForSequenceClassification from imsarfaroz
+author: John Snow Labs
+name: fine_tuned_albert_tweets
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_albert_tweets` is a English model originally trained by imsarfaroz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_albert_tweets_en_5.5.0_3.0_1726614197086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_albert_tweets_en_5.5.0_3.0_1726614197086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_opusmt_english_tamil_gujarati|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|530.2 MB|
+
+## References
+
+https://huggingface.co/Varsha00/finetuned-opusmt-en-ta-gu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-finetuning_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-finetuning_pipeline_en.md
new file mode 100644
index 00000000000000..d712ad1be9c134
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-finetuning_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_pipeline pipeline XlmRoBertaForSequenceClassification from grrfdghebsz
+author: John Snow Labs
+name: finetuning_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_pipeline` is a English model originally trained by grrfdghebsz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_pipeline_en_5.5.0_3.0_1726536702041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_pipeline_en_5.5.0_3.0_1726536702041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|823.4 MB|
+
+## References
+
+https://huggingface.co/grrfdghebsz/FineTuning
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-finetuning_sentiment_model_3000_samples_wyx1221305402_en.md b/docs/_posts/ahmedlone127/2024-09-17-finetuning_sentiment_model_3000_samples_wyx1221305402_en.md
new file mode 100644
index 00000000000000..d33a159c6e3a36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-finetuning_sentiment_model_3000_samples_wyx1221305402_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_wyx1221305402 DistilBertForSequenceClassification from WYX1221305402
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_wyx1221305402
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_wyx1221305402` is a English model originally trained by WYX1221305402.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_wyx1221305402_en_5.5.0_3.0_1726593866773.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_wyx1221305402_en_5.5.0_3.0_1726593866773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_wyx1221305402|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/WYX1221305402/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-finetuning_sentiment_model_3000_samples_wyx1221305402_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-finetuning_sentiment_model_3000_samples_wyx1221305402_pipeline_en.md
new file mode 100644
index 00000000000000..d58ad748e337e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-finetuning_sentiment_model_3000_samples_wyx1221305402_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_wyx1221305402_pipeline pipeline DistilBertForSequenceClassification from WYX1221305402
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_wyx1221305402_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_wyx1221305402_pipeline` is a English model originally trained by WYX1221305402.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_wyx1221305402_pipeline_en_5.5.0_3.0_1726593879613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_wyx1221305402_pipeline_en_5.5.0_3.0_1726593879613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_wyx1221305402_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_wyx1221305402_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_wyx1221305402_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/WYX1221305402/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-ganda_english_v4_en.md b/docs/_posts/ahmedlone127/2024-09-17-ganda_english_v4_en.md
new file mode 100644
index 00000000000000..cac4d6d5f5a9be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-ganda_english_v4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ganda_english_v4 MarianTransformer from Conrad747
+author: John Snow Labs
+name: ganda_english_v4
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ganda_english_v4` is a English model originally trained by Conrad747.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ganda_english_v4_en_5.5.0_3.0_1726581860726.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ganda_english_v4_en_5.5.0_3.0_1726581860726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ganda_english_v4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|532.4 MB|
+
+## References
+
+https://huggingface.co/Conrad747/lg-en-v4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-ganda_english_v4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-ganda_english_v4_pipeline_en.md
new file mode 100644
index 00000000000000..b5a40604877e37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-ganda_english_v4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ganda_english_v4_pipeline pipeline MarianTransformer from Conrad747
+author: John Snow Labs
+name: ganda_english_v4_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ganda_english_v4_pipeline` is a English model originally trained by Conrad747.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ganda_english_v4_pipeline_en_5.5.0_3.0_1726581890772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ganda_english_v4_pipeline_en_5.5.0_3.0_1726581890772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ganda_english_v4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ganda_english_v4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ganda_english_v4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|533.0 MB|
+
+## References
+
+https://huggingface.co/Conrad747/lg-en-v4
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-hate_hate_balance_temporal_twitter_roberta_base_dec2020_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-hate_hate_balance_temporal_twitter_roberta_base_dec2020_pipeline_en.md
new file mode 100644
index 00000000000000..0dd11916544127
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-hate_hate_balance_temporal_twitter_roberta_base_dec2020_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_balance_temporal_twitter_roberta_base_dec2020_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_temporal_twitter_roberta_base_dec2020_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_temporal_twitter_roberta_base_dec2020_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_temporal_twitter_roberta_base_dec2020_pipeline_en_5.5.0_3.0_1726591754222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_temporal_twitter_roberta_base_dec2020_pipeline_en_5.5.0_3.0_1726591754222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_hate_balance_temporal_twitter_roberta_base_dec2020_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_balance_temporal_twitter_roberta_base_dec2020_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_temporal_twitter_roberta_base_dec2020_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_temporal-twitter-roberta-base-dec2020
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-hate_speech_detection_tweets_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-17-hate_speech_detection_tweets_roberta_base_en.md
new file mode 100644
index 00000000000000..735f328e23860e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-hate_speech_detection_tweets_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_speech_detection_tweets_roberta_base RoBertaForSequenceClassification from Arvnd03
+author: John Snow Labs
+name: hate_speech_detection_tweets_roberta_base
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_speech_detection_tweets_roberta_base` is a English model originally trained by Arvnd03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_speech_detection_tweets_roberta_base_en_5.5.0_3.0_1726573583134.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_speech_detection_tweets_roberta_base_en_5.5.0_3.0_1726573583134.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hfa_poly_english_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/kurianbenoy/hfa-poly_english_small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-huqitu_finetuned_kde4_english_tonga_tonga_islands_french_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-huqitu_finetuned_kde4_english_tonga_tonga_islands_french_pipeline_en.md
new file mode 100644
index 00000000000000..1b9daa70cfc275
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-huqitu_finetuned_kde4_english_tonga_tonga_islands_french_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English huqitu_finetuned_kde4_english_tonga_tonga_islands_french_pipeline pipeline MarianTransformer from huqitu
+author: John Snow Labs
+name: huqitu_finetuned_kde4_english_tonga_tonga_islands_french_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`huqitu_finetuned_kde4_english_tonga_tonga_islands_french_pipeline` is a English model originally trained by huqitu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/huqitu_finetuned_kde4_english_tonga_tonga_islands_french_pipeline_en_5.5.0_3.0_1726581860504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/huqitu_finetuned_kde4_english_tonga_tonga_islands_french_pipeline_en_5.5.0_3.0_1726581860504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("huqitu_finetuned_kde4_english_tonga_tonga_islands_french_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("huqitu_finetuned_kde4_english_tonga_tonga_islands_french_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|huqitu_finetuned_kde4_english_tonga_tonga_islands_french_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/huqitu/huqitu-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-incremental_semi_supervised_training_500k_downsampled_en.md b/docs/_posts/ahmedlone127/2024-09-17-incremental_semi_supervised_training_500k_downsampled_en.md
new file mode 100644
index 00000000000000..cdaa20816ea436
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-incremental_semi_supervised_training_500k_downsampled_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English incremental_semi_supervised_training_500k_downsampled RoBertaForSequenceClassification from bitsanlp
+author: John Snow Labs
+name: incremental_semi_supervised_training_500k_downsampled
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`incremental_semi_supervised_training_500k_downsampled` is a English model originally trained by bitsanlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/incremental_semi_supervised_training_500k_downsampled_en_5.5.0_3.0_1726591828637.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/incremental_semi_supervised_training_500k_downsampled_en_5.5.0_3.0_1726591828637.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|incremental_semi_supervised_training_500k_downsampled|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/bitsanlp/incremental-semi-supervised-training-500k-downsampled
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-incremental_semi_supervised_training_500k_downsampled_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-incremental_semi_supervised_training_500k_downsampled_pipeline_en.md
new file mode 100644
index 00000000000000..c65c2b509e7d51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-incremental_semi_supervised_training_500k_downsampled_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English incremental_semi_supervised_training_500k_downsampled_pipeline pipeline RoBertaForSequenceClassification from bitsanlp
+author: John Snow Labs
+name: incremental_semi_supervised_training_500k_downsampled_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`incremental_semi_supervised_training_500k_downsampled_pipeline` is a English model originally trained by bitsanlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/incremental_semi_supervised_training_500k_downsampled_pipeline_en_5.5.0_3.0_1726591900160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/incremental_semi_supervised_training_500k_downsampled_pipeline_en_5.5.0_3.0_1726591900160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("incremental_semi_supervised_training_500k_downsampled_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("incremental_semi_supervised_training_500k_downsampled_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|incremental_semi_supervised_training_500k_downsampled_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/bitsanlp/incremental-semi-supervised-training-500k-downsampled
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-indicbertv2_mlm_sam_tlm_ner_pipeline_nan.md b/docs/_posts/ahmedlone127/2024-09-17-indicbertv2_mlm_sam_tlm_ner_pipeline_nan.md
new file mode 100644
index 00000000000000..6cc1e4366a3fcd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-indicbertv2_mlm_sam_tlm_ner_pipeline_nan.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: None indicbertv2_mlm_sam_tlm_ner_pipeline pipeline BertForTokenClassification from livinNector
+author: John Snow Labs
+name: indicbertv2_mlm_sam_tlm_ner_pipeline
+date: 2024-09-17
+tags: [nan, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: nan
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indicbertv2_mlm_sam_tlm_ner_pipeline` is a None model originally trained by livinNector.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indicbertv2_mlm_sam_tlm_ner_pipeline_nan_5.5.0_3.0_1726597487066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indicbertv2_mlm_sam_tlm_ner_pipeline_nan_5.5.0_3.0_1726597487066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indicbertv2_mlm_sam_tlm_ner_pipeline", lang = "nan")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indicbertv2_mlm_sam_tlm_ner_pipeline", lang = "nan")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indicbertv2_mlm_sam_tlm_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|nan|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/livinNector/IndicBERTv2-MLM-Sam-TLM-NER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-influence_tactic_paper_en.md b/docs/_posts/ahmedlone127/2024-09-17-influence_tactic_paper_en.md
new file mode 100644
index 00000000000000..15b111801f4837
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-influence_tactic_paper_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English influence_tactic_paper BertForSequenceClassification from InfluenceTactics
+author: John Snow Labs
+name: influence_tactic_paper
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`influence_tactic_paper` is a English model originally trained by InfluenceTactics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/influence_tactic_paper_en_5.5.0_3.0_1726604770069.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/influence_tactic_paper_en_5.5.0_3.0_1726604770069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|influence_tactic_paper|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/InfluenceTactics/Influence_Tactic_Paper
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-interval_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-interval_model_pipeline_en.md
new file mode 100644
index 00000000000000..2abaad4e68fdce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-interval_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English interval_model_pipeline pipeline DistilBertForSequenceClassification from coggpt
+author: John Snow Labs
+name: interval_model_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`interval_model_pipeline` is a English model originally trained by coggpt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/interval_model_pipeline_en_5.5.0_3.0_1726593986031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/interval_model_pipeline_en_5.5.0_3.0_1726593986031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("interval_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("interval_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|interval_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/coggpt/interval_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-inverse_translate_model_v0_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-inverse_translate_model_v0_4_pipeline_en.md
new file mode 100644
index 00000000000000..48ff40518cb889
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-inverse_translate_model_v0_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English inverse_translate_model_v0_4_pipeline pipeline MarianTransformer from gshields
+author: John Snow Labs
+name: inverse_translate_model_v0_4_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`inverse_translate_model_v0_4_pipeline` is a English model originally trained by gshields.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inverse_translate_model_v0_4_pipeline_en_5.5.0_3.0_1726598470742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inverse_translate_model_v0_4_pipeline_en_5.5.0_3.0_1726598470742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("inverse_translate_model_v0_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("inverse_translate_model_v0_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inverse_translate_model_v0_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|519.0 MB|
+
+## References
+
+https://huggingface.co/gshields/inverse_translate_model_v0.4
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-korean_small_t2_ko.md b/docs/_posts/ahmedlone127/2024-09-17-korean_small_t2_ko.md
new file mode 100644
index 00000000000000..ae2dd2094f3d42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-korean_small_t2_ko.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Korean korean_small_t2 WhisperForCTC from jsfamily
+author: John Snow Labs
+name: korean_small_t2
+date: 2024-09-17
+tags: [ko, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`korean_small_t2` is a Korean model originally trained by jsfamily.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/korean_small_t2_ko_5.5.0_3.0_1726550323959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/korean_small_t2_ko_5.5.0_3.0_1726550323959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lingala_japanese_english_helsinki|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|517.6 MB|
+
+## References
+
+https://huggingface.co/twieland/LN_ja-en_helsinki
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-lingala_japanese_english_helsinki_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-lingala_japanese_english_helsinki_pipeline_en.md
new file mode 100644
index 00000000000000..64339cdbf52dc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-lingala_japanese_english_helsinki_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lingala_japanese_english_helsinki_pipeline pipeline MarianTransformer from twieland
+author: John Snow Labs
+name: lingala_japanese_english_helsinki_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lingala_japanese_english_helsinki_pipeline` is a English model originally trained by twieland.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lingala_japanese_english_helsinki_pipeline_en_5.5.0_3.0_1726598832431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lingala_japanese_english_helsinki_pipeline_en_5.5.0_3.0_1726598832431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lingala_japanese_english_helsinki_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lingala_japanese_english_helsinki_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lingala_japanese_english_helsinki_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|518.1 MB|
+
+## References
+
+https://huggingface.co/twieland/LN_ja-en_helsinki
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-lr1e5_bs32_distilbert_qa_pytorch_full_en.md b/docs/_posts/ahmedlone127/2024-09-17-lr1e5_bs32_distilbert_qa_pytorch_full_en.md
new file mode 100644
index 00000000000000..8854ddc6262d54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-lr1e5_bs32_distilbert_qa_pytorch_full_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English lr1e5_bs32_distilbert_qa_pytorch_full DistilBertForQuestionAnswering from tyavika
+author: John Snow Labs
+name: lr1e5_bs32_distilbert_qa_pytorch_full
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lr1e5_bs32_distilbert_qa_pytorch_full` is a English model originally trained by tyavika.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lr1e5_bs32_distilbert_qa_pytorch_full_en_5.5.0_3.0_1726586360436.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lr1e5_bs32_distilbert_qa_pytorch_full_en_5.5.0_3.0_1726586360436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lr1e5_bs32_distilbert_qa_pytorch_full|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/tyavika/LR1E5_BS32_Distilbert-QA-Pytorch-FULL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-maltese_hitz_english_basque_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-maltese_hitz_english_basque_pipeline_en.md
new file mode 100644
index 00000000000000..aea27c6f61e193
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-maltese_hitz_english_basque_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English maltese_hitz_english_basque_pipeline pipeline MarianTransformer from HiTZ
+author: John Snow Labs
+name: maltese_hitz_english_basque_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`maltese_hitz_english_basque_pipeline` is a English model originally trained by HiTZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maltese_hitz_english_basque_pipeline_en_5.5.0_3.0_1726599121533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maltese_hitz_english_basque_pipeline_en_5.5.0_3.0_1726599121533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("maltese_hitz_english_basque_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("maltese_hitz_english_basque_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maltese_hitz_english_basque_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|137.7 MB|
+
+## References
+
+https://huggingface.co/HiTZ/mt-hitz-en-eu
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-marathiauthorclassifieralbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-marathiauthorclassifieralbert_pipeline_en.md
new file mode 100644
index 00000000000000..f17b26d3f88274
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-marathiauthorclassifieralbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marathiauthorclassifieralbert_pipeline pipeline AlbertForSequenceClassification from JoshiSuyash
+author: John Snow Labs
+name: marathiauthorclassifieralbert_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathiauthorclassifieralbert_pipeline` is a English model originally trained by JoshiSuyash.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathiauthorclassifieralbert_pipeline_en_5.5.0_3.0_1726600984122.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathiauthorclassifieralbert_pipeline_en_5.5.0_3.0_1726600984122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marathiauthorclassifieralbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marathiauthorclassifieralbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathiauthorclassifieralbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|127.7 MB|
+
+## References
+
+https://huggingface.co/JoshiSuyash/MarathiAuthorClassifierALBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_en.md b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_en.md
new file mode 100644
index 00000000000000..9117ccb99a8860
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate MarianTransformer from Pinkky
+author: John Snow Labs
+name: marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate` is a English model originally trained by Pinkky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_en_5.5.0_3.0_1726582024814.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_en_5.5.0_3.0_1726582024814.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|540.2 MB|
+
+## References
+
+https://huggingface.co/Pinkky/marian-finetuned-gw-zh-to-en-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_chinonyelum_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_chinonyelum_pipeline_en.md
new file mode 100644
index 00000000000000..39c217f149f766
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_chinonyelum_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_chinonyelum_pipeline pipeline MarianTransformer from chinonyelum
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_chinonyelum_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_chinonyelum_pipeline` is a English model originally trained by chinonyelum.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_chinonyelum_pipeline_en_5.5.0_3.0_1726581745693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_chinonyelum_pipeline_en_5.5.0_3.0_1726581745693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_chinonyelum_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_chinonyelum_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_chinonyelum_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/chinonyelum/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_pipeline_en.md
new file mode 100644
index 00000000000000..1e1c49f1c914d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_pipeline pipeline MarianTransformer from kingxue
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_pipeline` is a English model originally trained by kingxue.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_pipeline_en_5.5.0_3.0_1726599057651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_pipeline_en_5.5.0_3.0_1726599057651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.9 MB|
+
+## References
+
+https://huggingface.co/kingxue/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-military_distilbert_prod_en.md b/docs/_posts/ahmedlone127/2024-09-17-military_distilbert_prod_en.md
new file mode 100644
index 00000000000000..328f28ce9a2332
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-military_distilbert_prod_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English military_distilbert_prod DistilBertForSequenceClassification from banhabang
+author: John Snow Labs
+name: military_distilbert_prod
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`military_distilbert_prod` is a English model originally trained by banhabang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/military_distilbert_prod_en_5.5.0_3.0_1726584492624.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/military_distilbert_prod_en_5.5.0_3.0_1726584492624.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|military_distilbert_prod|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/banhabang/Military-distilbert-Prod
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-mnli_6_var33_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-mnli_6_var33_3_pipeline_en.md
new file mode 100644
index 00000000000000..ae5fc4678e11f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-mnli_6_var33_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mnli_6_var33_3_pipeline pipeline RoBertaEmbeddings from mahdiyar
+author: John Snow Labs
+name: mnli_6_var33_3_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mnli_6_var33_3_pipeline` is a English model originally trained by mahdiyar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mnli_6_var33_3_pipeline_en_5.5.0_3.0_1726595199974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mnli_6_var33_3_pipeline_en_5.5.0_3.0_1726595199974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mnli_6_var33_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mnli_6_var33_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mnli_6_var33_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|460.3 MB|
+
+## References
+
+https://huggingface.co/mahdiyar/mnli-6-var33-3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-model_bert_7000_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-model_bert_7000_5_pipeline_en.md
new file mode 100644
index 00000000000000..17c787e1b0d3f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-model_bert_7000_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_bert_7000_5_pipeline pipeline DistilBertForSequenceClassification from KalaiselvanD
+author: John Snow Labs
+name: model_bert_7000_5_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_bert_7000_5_pipeline` is a English model originally trained by KalaiselvanD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_bert_7000_5_pipeline_en_5.5.0_3.0_1726584795422.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_bert_7000_5_pipeline_en_5.5.0_3.0_1726584795422.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_bert_7000_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_bert_7000_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_bert_7000_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KalaiselvanD/model_bert_7000_5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-modeltest_en.md b/docs/_posts/ahmedlone127/2024-09-17-modeltest_en.md
new file mode 100644
index 00000000000000..c4f785aa807fd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-modeltest_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English modeltest DistilBertForSequenceClassification from pranay143342
+author: John Snow Labs
+name: modeltest
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modeltest` is a English model originally trained by pranay143342.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modeltest_en_5.5.0_3.0_1726584963090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modeltest_en_5.5.0_3.0_1726584963090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modeltest|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pranay143342/modeltest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-mt5_rouge_durga_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-mt5_rouge_durga_2_pipeline_en.md
new file mode 100644
index 00000000000000..cfba06fc0d9518
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-mt5_rouge_durga_2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mt5_rouge_durga_2_pipeline pipeline T5Transformer from devagonal
+author: John Snow Labs
+name: mt5_rouge_durga_2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: [Question Answering, Summarization, Translation, Text Generation]
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mt5_rouge_durga_2_pipeline` is a English model originally trained by devagonal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mt5_rouge_durga_2_pipeline_en_5.5.0_3.0_1726586121962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mt5_rouge_durga_2_pipeline_en_5.5.0_3.0_1726586121962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mt5_rouge_durga_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mt5_rouge_durga_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mt5_rouge_durga_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|2.2 GB|
+
+## References
+
+https://huggingface.co/devagonal/mt5-rouge-durga-2
+
+## Included Models
+
+- DocumentAssembler
+- T5Transformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-ner_ner_random2_seed0_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-17-ner_ner_random2_seed0_bernice_en.md
new file mode 100644
index 00000000000000..cbb87af4a81b18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-ner_ner_random2_seed0_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_ner_random2_seed0_bernice XlmRoBertaForTokenClassification from tweettemposhift
+author: John Snow Labs
+name: ner_ner_random2_seed0_bernice
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_ner_random2_seed0_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_ner_random2_seed0_bernice_en_5.5.0_3.0_1726577124058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_ner_random2_seed0_bernice_en_5.5.0_3.0_1726577124058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_ner_random2_seed0_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|802.7 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/ner-ner_random2_seed0-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-nlp_herbalmultilabelclassification_en.md b/docs/_posts/ahmedlone127/2024-09-17-nlp_herbalmultilabelclassification_en.md
new file mode 100644
index 00000000000000..5a1786b1560fb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-nlp_herbalmultilabelclassification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp_herbalmultilabelclassification DistilBertForSequenceClassification from khygopole
+author: John Snow Labs
+name: nlp_herbalmultilabelclassification
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_herbalmultilabelclassification` is a English model originally trained by khygopole.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_herbalmultilabelclassification_en_5.5.0_3.0_1726584159156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_herbalmultilabelclassification_en_5.5.0_3.0_1726584159156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_herbalmultilabelclassification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/khygopole/NLP_HerbalMultilabelClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-online_junction_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-online_junction_pipeline_en.md
new file mode 100644
index 00000000000000..1ae86aa96a7d40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-online_junction_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English online_junction_pipeline pipeline DistilBertForSequenceClassification from yk9
+author: John Snow Labs
+name: online_junction_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`online_junction_pipeline` is a English model originally trained by yk9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/online_junction_pipeline_en_5.5.0_3.0_1726584654633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/online_junction_pipeline_en_5.5.0_3.0_1726584654633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("online_junction_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("online_junction_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|online_junction_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yk9/online_junction
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_en.md b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_en.md
new file mode 100644
index 00000000000000..99a7cdb33ca62a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan MarianTransformer from ani-baghdasaryan
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan` is a English model originally trained by ani-baghdasaryan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_en_5.5.0_3.0_1726533175071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_en_5.5.0_3.0_1726533175071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/ani-baghdasaryan/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-opus_wmt_finetuned_enfr_wce_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-opus_wmt_finetuned_enfr_wce_pipeline_en.md
new file mode 100644
index 00000000000000..7f551e776019c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-opus_wmt_finetuned_enfr_wce_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_wmt_finetuned_enfr_wce_pipeline pipeline MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_wmt_finetuned_enfr_wce_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_wmt_finetuned_enfr_wce_pipeline` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_wmt_finetuned_enfr_wce_pipeline_en_5.5.0_3.0_1726594575653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_wmt_finetuned_enfr_wce_pipeline_en_5.5.0_3.0_1726594575653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_wmt_finetuned_enfr_wce_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_wmt_finetuned_enfr_wce_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_wmt_finetuned_enfr_wce_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.0 MB|
+
+## References
+
+https://huggingface.co/ethansimrm/opus_wmt_finetuned_enfr_wce
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-opus_wmt_finetuned_enfr_wu_2022_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-opus_wmt_finetuned_enfr_wu_2022_pipeline_en.md
new file mode 100644
index 00000000000000..b1bd51a48448b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-opus_wmt_finetuned_enfr_wu_2022_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_wmt_finetuned_enfr_wu_2022_pipeline pipeline MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_wmt_finetuned_enfr_wu_2022_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_wmt_finetuned_enfr_wu_2022_pipeline` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_wmt_finetuned_enfr_wu_2022_pipeline_en_5.5.0_3.0_1726532856786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_wmt_finetuned_enfr_wu_2022_pipeline_en_5.5.0_3.0_1726532856786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_wmt_finetuned_enfr_wu_2022_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_wmt_finetuned_enfr_wu_2022_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_wmt_finetuned_enfr_wu_2022_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.0 MB|
+
+## References
+
+https://huggingface.co/ethansimrm/opus_wmt_finetuned_enfr_wu_2022
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-protein_custom_model_veresnoemi_en.md b/docs/_posts/ahmedlone127/2024-09-17-protein_custom_model_veresnoemi_en.md
new file mode 100644
index 00000000000000..e1fcd467fb2e86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-protein_custom_model_veresnoemi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English protein_custom_model_veresnoemi XlmRoBertaForSequenceClassification from veresnoemi
+author: John Snow Labs
+name: protein_custom_model_veresnoemi
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`protein_custom_model_veresnoemi` is a English model originally trained by veresnoemi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/protein_custom_model_veresnoemi_en_5.5.0_3.0_1726536616429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/protein_custom_model_veresnoemi_en_5.5.0_3.0_1726536616429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_model_spanish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|459.7 MB|
+
+## References
+
+https://huggingface.co/MartaCaldero/qa_model_es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-qqp_distilled_bartlarge_cross_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-17-qqp_distilled_bartlarge_cross_roberta_en.md
new file mode 100644
index 00000000000000..ac9e0a165160d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-qqp_distilled_bartlarge_cross_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English qqp_distilled_bartlarge_cross_roberta RoBertaForSequenceClassification from Sayan01
+author: John Snow Labs
+name: qqp_distilled_bartlarge_cross_roberta
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qqp_distilled_bartlarge_cross_roberta` is a English model originally trained by Sayan01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qqp_distilled_bartlarge_cross_roberta_en_5.5.0_3.0_1726573698198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qqp_distilled_bartlarge_cross_roberta_en_5.5.0_3.0_1726573698198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_wallisian_manual_1ep|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|463.0 MB|
+
+## References
+
+https://huggingface.co/btamm12/roberta-base-finetuned-wls-manual-1ep
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_base_legal_nli_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_legal_nli_finetuned_en.md
new file mode 100644
index 00000000000000..0b35bcf111e1c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_legal_nli_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_legal_nli_finetuned RoBertaForSequenceClassification from khalidrajan
+author: John Snow Labs
+name: roberta_base_legal_nli_finetuned
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_legal_nli_finetuned` is a English model originally trained by khalidrajan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_legal_nli_finetuned_en_5.5.0_3.0_1726573535498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_legal_nli_finetuned_en_5.5.0_3.0_1726573535498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_legal_nli_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|425.9 MB|
+
+## References
+
+https://huggingface.co/khalidrajan/roberta-base_legal_nli_finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_depression_detection_hpc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_depression_detection_hpc_pipeline_en.md
new file mode 100644
index 00000000000000..3d458a37ded68b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_depression_detection_hpc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_depression_detection_hpc_pipeline pipeline RoBertaForSequenceClassification from almafaz
+author: John Snow Labs
+name: roberta_depression_detection_hpc_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_depression_detection_hpc_pipeline` is a English model originally trained by almafaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_depression_detection_hpc_pipeline_en_5.5.0_3.0_1726573709188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_depression_detection_hpc_pipeline_en_5.5.0_3.0_1726573709188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_depression_detection_hpc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_depression_detection_hpc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_depression_detection_hpc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|440.8 MB|
+
+## References
+
+https://huggingface.co/almafaz/roberta-depression-detection-hpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_large_tweet_topic_single_2020_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_large_tweet_topic_single_2020_en.md
new file mode 100644
index 00000000000000..1cd7dcde2b8582
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_large_tweet_topic_single_2020_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_tweet_topic_single_2020 RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: roberta_large_tweet_topic_single_2020
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_tweet_topic_single_2020` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_tweet_topic_single_2020_en_5.5.0_3.0_1726573440070.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_tweet_topic_single_2020_en_5.5.0_3.0_1726573440070.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_tweet_topic_single_2020|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/cardiffnlp/roberta-large-tweet-topic-single-2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-sent_bert_base_historical_german_kinyarwanda_cased_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-17-sent_bert_base_historical_german_kinyarwanda_cased_pipeline_de.md
new file mode 100644
index 00000000000000..66528e713ad26c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-sent_bert_base_historical_german_kinyarwanda_cased_pipeline_de.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: German sent_bert_base_historical_german_kinyarwanda_cased_pipeline pipeline BertSentenceEmbeddings from redewiedergabe
+author: John Snow Labs
+name: sent_bert_base_historical_german_kinyarwanda_cased_pipeline
+date: 2024-09-17
+tags: [de, open_source, pipeline, onnx]
+task: Embeddings
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_historical_german_kinyarwanda_cased_pipeline` is a German model originally trained by redewiedergabe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_historical_german_kinyarwanda_cased_pipeline_de_5.5.0_3.0_1726607751780.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_historical_german_kinyarwanda_cased_pipeline_de_5.5.0_3.0_1726607751780.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_historical_german_kinyarwanda_cased_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_historical_german_kinyarwanda_cased_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_historical_german_kinyarwanda_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|407.5 MB|
+
+## References
+
+https://huggingface.co/redewiedergabe/bert-base-historical-german-rw-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-sent_bert_base_italian_uncased_osiria_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-17-sent_bert_base_italian_uncased_osiria_pipeline_it.md
new file mode 100644
index 00000000000000..5f26c210665c4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-sent_bert_base_italian_uncased_osiria_pipeline_it.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Italian sent_bert_base_italian_uncased_osiria_pipeline pipeline BertSentenceEmbeddings from osiria
+author: John Snow Labs
+name: sent_bert_base_italian_uncased_osiria_pipeline
+date: 2024-09-17
+tags: [it, open_source, pipeline, onnx]
+task: Embeddings
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_italian_uncased_osiria_pipeline` is a Italian model originally trained by osiria.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_italian_uncased_osiria_pipeline_it_5.5.0_3.0_1726607889084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_italian_uncased_osiria_pipeline_it_5.5.0_3.0_1726607889084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_italian_uncased_osiria_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_italian_uncased_osiria_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_italian_uncased_osiria_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|407.6 MB|
+
+## References
+
+https://huggingface.co/osiria/bert-base-italian-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-sent_bert_checkpoint_980000_en.md b/docs/_posts/ahmedlone127/2024-09-17-sent_bert_checkpoint_980000_en.md
new file mode 100644
index 00000000000000..eb63cb20d13132
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-sent_bert_checkpoint_980000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_checkpoint_980000 BertSentenceEmbeddings from Atipico1
+author: John Snow Labs
+name: sent_bert_checkpoint_980000
+date: 2024-09-17
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_checkpoint_980000` is a English model originally trained by Atipico1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_checkpoint_980000_en_5.5.0_3.0_1726583414304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_checkpoint_980000_en_5.5.0_3.0_1726583414304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_medical_bio_bert2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/fspanda/Medical-Bio-BERT2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-sentiment_sentiment_small_random3_seed2_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-17-sentiment_sentiment_small_random3_seed2_bernice_en.md
new file mode 100644
index 00000000000000..f5f61d74757f03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-sentiment_sentiment_small_random3_seed2_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random3_seed2_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random3_seed2_bernice
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random3_seed2_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random3_seed2_bernice_en_5.5.0_3.0_1726615464117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random3_seed2_bernice_en_5.5.0_3.0_1726615464117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spbert_mlm_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+References
+
+https://huggingface.co/razent/spbert-mlm-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-sql_encoder_bert_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-sql_encoder_bert_large_pipeline_en.md
new file mode 100644
index 00000000000000..f2e4a425156ff2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-sql_encoder_bert_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sql_encoder_bert_large_pipeline pipeline BertForSequenceClassification from MrezaPRZ
+author: John Snow Labs
+name: sql_encoder_bert_large_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sql_encoder_bert_large_pipeline` is a English model originally trained by MrezaPRZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sql_encoder_bert_large_pipeline_en_5.5.0_3.0_1726604787875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sql_encoder_bert_large_pipeline_en_5.5.0_3.0_1726604787875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sql_encoder_bert_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sql_encoder_bert_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sql_encoder_bert_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/MrezaPRZ/sql-encoder-bert-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-stego_classifier_checkpoint_epoch_40_2024_07_26_14_26_52_en.md b/docs/_posts/ahmedlone127/2024-09-17-stego_classifier_checkpoint_epoch_40_2024_07_26_14_26_52_en.md
new file mode 100644
index 00000000000000..1388e6184e02fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-stego_classifier_checkpoint_epoch_40_2024_07_26_14_26_52_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_40_2024_07_26_14_26_52 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_40_2024_07_26_14_26_52
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_40_2024_07_26_14_26_52` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_40_2024_07_26_14_26_52_en_5.5.0_3.0_1726584687687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_40_2024_07_26_14_26_52_en_5.5.0_3.0_1726584687687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_40_2024_07_26_14_26_52|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-40-2024-07-26_14-26-52
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-stego_classifier_checkpoint_epoch_40_2024_07_26_16_19_31_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-stego_classifier_checkpoint_epoch_40_2024_07_26_16_19_31_pipeline_en.md
new file mode 100644
index 00000000000000..e7efb57116e181
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-stego_classifier_checkpoint_epoch_40_2024_07_26_16_19_31_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_40_2024_07_26_16_19_31_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_40_2024_07_26_16_19_31_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_40_2024_07_26_16_19_31_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_40_2024_07_26_16_19_31_pipeline_en_5.5.0_3.0_1726584884530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_40_2024_07_26_16_19_31_pipeline_en_5.5.0_3.0_1726584884530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_40_2024_07_26_16_19_31_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_40_2024_07_26_16_19_31_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_40_2024_07_26_16_19_31_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-40-2024-07-26_16-19-31
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-test_for_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-17-test_for_roberta_base_en.md
new file mode 100644
index 00000000000000..56642685aad34c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-test_for_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_for_roberta_base RoBertaEmbeddings from kkkzzzkkk
+author: John Snow Labs
+name: test_for_roberta_base
+date: 2024-09-17
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_for_roberta_base` is a English model originally trained by kkkzzzkkk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_for_roberta_base_en_5.5.0_3.0_1726602614613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_for_roberta_base_en_5.5.0_3.0_1726602614613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_for_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|298.2 MB|
+
+## References
+
+https://huggingface.co/kkkzzzkkk/test_for_roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-test_for_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-test_for_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..7707a7839c4b19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-test_for_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_for_roberta_base_pipeline pipeline RoBertaEmbeddings from kkkzzzkkk
+author: John Snow Labs
+name: test_for_roberta_base_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_for_roberta_base_pipeline` is a English model originally trained by kkkzzzkkk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_for_roberta_base_pipeline_en_5.5.0_3.0_1726602704706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_for_roberta_base_pipeline_en_5.5.0_3.0_1726602704706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_for_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_for_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_for_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|298.2 MB|
+
+## References
+
+https://huggingface.co/kkkzzzkkk/test_for_roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-text_classification_thirdeyedata_en.md b/docs/_posts/ahmedlone127/2024-09-17-text_classification_thirdeyedata_en.md
new file mode 100644
index 00000000000000..508cd9fa5f8749
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-text_classification_thirdeyedata_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English text_classification_thirdeyedata DistilBertForSequenceClassification from ThirdEyeData
+author: John Snow Labs
+name: text_classification_thirdeyedata
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_thirdeyedata` is a English model originally trained by ThirdEyeData.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_thirdeyedata_en_5.5.0_3.0_1726593496160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_thirdeyedata_en_5.5.0_3.0_1726593496160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_thirdeyedata|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ThirdEyeData/Text_Classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-text_classification_thirdeyedata_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-text_classification_thirdeyedata_pipeline_en.md
new file mode 100644
index 00000000000000..f600bc8e247cab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-text_classification_thirdeyedata_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English text_classification_thirdeyedata_pipeline pipeline DistilBertForSequenceClassification from ThirdEyeData
+author: John Snow Labs
+name: text_classification_thirdeyedata_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_thirdeyedata_pipeline` is a English model originally trained by ThirdEyeData.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_thirdeyedata_pipeline_en_5.5.0_3.0_1726593508558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_thirdeyedata_pipeline_en_5.5.0_3.0_1726593508558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("text_classification_thirdeyedata_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("text_classification_thirdeyedata_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_thirdeyedata_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ThirdEyeData/Text_Classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-text_clf_model_v04_en.md b/docs/_posts/ahmedlone127/2024-09-17-text_clf_model_v04_en.md
new file mode 100644
index 00000000000000..448db2374cb9bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-text_clf_model_v04_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English text_clf_model_v04 DistilBertForSequenceClassification from ogamart
+author: John Snow Labs
+name: text_clf_model_v04
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_clf_model_v04` is a English model originally trained by ogamart.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_clf_model_v04_en_5.5.0_3.0_1726584134568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_clf_model_v04_en_5.5.0_3.0_1726584134568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_clf_model_v04|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ogamart/text-clf-model-v04
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-thesismodel_en.md b/docs/_posts/ahmedlone127/2024-09-17-thesismodel_en.md
new file mode 100644
index 00000000000000..8aea1f43f54bf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-thesismodel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English thesismodel RoBertaForSequenceClassification from kevinbror
+author: John Snow Labs
+name: thesismodel
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`thesismodel` is a English model originally trained by kevinbror.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/thesismodel_en_5.5.0_3.0_1726590929507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/thesismodel_en_5.5.0_3.0_1726590929507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|thesismodel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|422.6 MB|
+
+## References
+
+https://huggingface.co/kevinbror/thesismodel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-tiny_english_combined_v4_2_0_32_1e_05_young_sweep_18_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-tiny_english_combined_v4_2_0_32_1e_05_young_sweep_18_pipeline_en.md
new file mode 100644
index 00000000000000..dd4f9893cc6895
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-tiny_english_combined_v4_2_0_32_1e_05_young_sweep_18_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tiny_english_combined_v4_2_0_32_1e_05_young_sweep_18_pipeline pipeline WhisperForCTC from saahith
+author: John Snow Labs
+name: tiny_english_combined_v4_2_0_32_1e_05_young_sweep_18_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_english_combined_v4_2_0_32_1e_05_young_sweep_18_pipeline` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_english_combined_v4_2_0_32_1e_05_young_sweep_18_pipeline_en_5.5.0_3.0_1726562854304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_english_combined_v4_2_0_32_1e_05_young_sweep_18_pipeline_en_5.5.0_3.0_1726562854304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_english_combined_v4_2_0_32_1e_05_young_sweep_18_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_english_combined_v4_2_0_32_1e_05_young_sweep_18_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_english_combined_v4_2_0_32_1e_05_young_sweep_18_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|394.7 MB|
+
+## References
+
+https://huggingface.co/saahith/tiny.en-combined_v4-2-0-32-1e-05-young-sweep-18
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-translator_italian_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-translator_italian_english_pipeline_en.md
new file mode 100644
index 00000000000000..ceb55a11d5adf1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-translator_italian_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English translator_italian_english_pipeline pipeline MarianTransformer from zaneas
+author: John Snow Labs
+name: translator_italian_english_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`translator_italian_english_pipeline` is a English model originally trained by zaneas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translator_italian_english_pipeline_en_5.5.0_3.0_1726582253761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translator_italian_english_pipeline_en_5.5.0_3.0_1726582253761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("translator_italian_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("translator_italian_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translator_italian_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/zaneas/translator_IT_EN
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_pipeline_en.md
new file mode 100644
index 00000000000000..2ffabd0611c92f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_pipeline pipeline XlmRoBertaForSequenceClassification from jayantapaul888
+author: John Snow Labs
+name: twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_pipeline` is a English model originally trained by jayantapaul888.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_pipeline_en_5.5.0_3.0_1726535800967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_pipeline_en_5.5.0_3.0_1726535800967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|807.4 MB|
+
+## References
+
+https://huggingface.co/jayantapaul888/twitter-data-xlm-roberta-base-eng-only-sentiment-finetuned-memes
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper4_pipeline_en.md
new file mode 100644
index 00000000000000..4c1d8771cab023
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper4_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper4_pipeline pipeline WhisperForCTC from khaingsmon
+author: John Snow Labs
+name: whisper4_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper4_pipeline` is a English model originally trained by khaingsmon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper4_pipeline_en_5.5.0_3.0_1726546110143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper4_pipeline_en_5.5.0_3.0_1726546110143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|393.9 MB|
+
+## References
+
+https://huggingface.co/khaingsmon/whisper4
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_base_chuvash_highlr_czech_pipeline_cs.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_chuvash_highlr_czech_pipeline_cs.md
new file mode 100644
index 00000000000000..b46ef90d165a26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_chuvash_highlr_czech_pipeline_cs.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Czech whisper_base_chuvash_highlr_czech_pipeline pipeline WhisperForCTC from sgangireddy
+author: John Snow Labs
+name: whisper_base_chuvash_highlr_czech_pipeline
+date: 2024-09-17
+tags: [cs, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: cs
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_chuvash_highlr_czech_pipeline` is a Czech model originally trained by sgangireddy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_chuvash_highlr_czech_pipeline_cs_5.5.0_3.0_1726549292006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_chuvash_highlr_czech_pipeline_cs_5.5.0_3.0_1726549292006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_chuvash_highlr_czech_pipeline", lang = "cs")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_chuvash_highlr_czech_pipeline", lang = "cs")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_chuvash_highlr_czech_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|cs|
+|Size:|642.6 MB|
+
+## References
+
+https://huggingface.co/sgangireddy/whisper-base-cv-highLR-cs
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_base_encod_vietmed_vi.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_encod_vietmed_vi.md
new file mode 100644
index 00000000000000..a027f5dfeede60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_encod_vietmed_vi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Vietnamese whisper_base_encod_vietmed WhisperForCTC from Hanhpt23
+author: John Snow Labs
+name: whisper_base_encod_vietmed
+date: 2024-09-17
+tags: [vi, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: vi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_encod_vietmed` is a Vietnamese model originally trained by Hanhpt23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_encod_vietmed_vi_5.5.0_3.0_1726547774802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_encod_vietmed_vi_5.5.0_3.0_1726547774802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_encod_vietmed|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|vi|
+|Size:|641.6 MB|
+
+## References
+
+https://huggingface.co/Hanhpt23/whisper-base-Encod-vietmed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_base_jyutping_without_tones_full_merged_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_jyutping_without_tones_full_merged_pipeline_en.md
new file mode 100644
index 00000000000000..4c04161c3dd121
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_jyutping_without_tones_full_merged_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_jyutping_without_tones_full_merged_pipeline pipeline WhisperForCTC from AlienKevin
+author: John Snow Labs
+name: whisper_base_jyutping_without_tones_full_merged_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_jyutping_without_tones_full_merged_pipeline` is a English model originally trained by AlienKevin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_jyutping_without_tones_full_merged_pipeline_en_5.5.0_3.0_1726547915335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_jyutping_without_tones_full_merged_pipeline_en_5.5.0_3.0_1726547915335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_jyutping_without_tones_full_merged_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_jyutping_without_tones_full_merged_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_jyutping_without_tones_full_merged_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|643.6 MB|
+
+## References
+
+https://huggingface.co/AlienKevin/whisper-base-jyutping-without-tones-full-merged
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_medium_arabic_gerryc_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_medium_arabic_gerryc_pipeline_ar.md
new file mode 100644
index 00000000000000..552e3ed2dbbf58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_medium_arabic_gerryc_pipeline_ar.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Arabic whisper_medium_arabic_gerryc_pipeline pipeline WhisperForCTC from gerryc
+author: John Snow Labs
+name: whisper_medium_arabic_gerryc_pipeline
+date: 2024-09-17
+tags: [ar, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_medium_arabic_gerryc_pipeline` is a Arabic model originally trained by gerryc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_medium_arabic_gerryc_pipeline_ar_5.5.0_3.0_1726559400378.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_medium_arabic_gerryc_pipeline_ar_5.5.0_3.0_1726559400378.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_medium_arabic_gerryc_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_medium_arabic_gerryc_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_medium_arabic_gerryc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|4.8 GB|
+
+## References
+
+https://huggingface.co/gerryc/whisper-medium-ar
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_divehi_chaouch_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_divehi_chaouch_en.md
new file mode 100644
index 00000000000000..47516ca1f90491
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_divehi_chaouch_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_divehi_chaouch WhisperForCTC from chaouch
+author: John Snow Labs
+name: whisper_small_divehi_chaouch
+date: 2024-09-17
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_divehi_chaouch` is a English model originally trained by chaouch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_chaouch_en_5.5.0_3.0_1726558527825.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_chaouch_en_5.5.0_3.0_1726558527825.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hungarian_gyikesz|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hu|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/gyikesz/whisper-small-hu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_mongolian_7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_mongolian_7_pipeline_en.md
new file mode 100644
index 00000000000000..81c64582c6509f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_mongolian_7_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_mongolian_7_pipeline pipeline WhisperForCTC from bayartsogt
+author: John Snow Labs
+name: whisper_small_mongolian_7_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_mongolian_7_pipeline` is a English model originally trained by bayartsogt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_mongolian_7_pipeline_en_5.5.0_3.0_1726571545788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_mongolian_7_pipeline_en_5.5.0_3.0_1726571545788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_mongolian_7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_mongolian_7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_mongolian_7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/bayartsogt/whisper-small-mn-7
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_fluers_v1_telugu_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_fluers_v1_telugu_en.md
new file mode 100644
index 00000000000000..6ff2ab37e7d4e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_fluers_v1_telugu_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_fluers_v1_telugu WhisperForCTC from Harsha9044
+author: John Snow Labs
+name: whisper_tiny_fluers_v1_telugu
+date: 2024-09-17
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_fluers_v1_telugu` is a English model originally trained by Harsha9044.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_fluers_v1_telugu_en_5.5.0_3.0_1726568496244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_fluers_v1_telugu_en_5.5.0_3.0_1726568496244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_fluers_v1_telugu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|391.1 MB|
+
+## References
+
+https://huggingface.co/Harsha9044/whisper-tiny-fluers_V1_telugu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_fluers_v1_telugu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_fluers_v1_telugu_pipeline_en.md
new file mode 100644
index 00000000000000..23ed527703dd5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_fluers_v1_telugu_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_fluers_v1_telugu_pipeline pipeline WhisperForCTC from Harsha9044
+author: John Snow Labs
+name: whisper_tiny_fluers_v1_telugu_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_fluers_v1_telugu_pipeline` is a English model originally trained by Harsha9044.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_fluers_v1_telugu_pipeline_en_5.5.0_3.0_1726568518222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_fluers_v1_telugu_pipeline_en_5.5.0_3.0_1726568518222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_fluers_v1_telugu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_fluers_v1_telugu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_fluers_v1_telugu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|391.1 MB|
+
+## References
+
+https://huggingface.co/Harsha9044/whisper-tiny-fluers_V1_telugu
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_korean_rifky_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_korean_rifky_pipeline_en.md
new file mode 100644
index 00000000000000..8e3b56808d799f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_korean_rifky_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_korean_rifky_pipeline pipeline WhisperForCTC from Rifky
+author: John Snow Labs
+name: whisper_tiny_korean_rifky_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_korean_rifky_pipeline` is a English model originally trained by Rifky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_korean_rifky_pipeline_en_5.5.0_3.0_1726558094320.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_korean_rifky_pipeline_en_5.5.0_3.0_1726558094320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_korean_rifky_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_korean_rifky_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_korean_rifky_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|369.0 MB|
+
+## References
+
+https://huggingface.co/Rifky/whisper-tiny-ko
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_all_akira10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_all_akira10_pipeline_en.md
new file mode 100644
index 00000000000000..9adfcd2f546bc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_all_akira10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_akira10_pipeline pipeline XlmRoBertaForTokenClassification from Akira10
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_akira10_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_akira10_pipeline` is a English model originally trained by Akira10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_akira10_pipeline_en_5.5.0_3.0_1726576146023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_akira10_pipeline_en_5.5.0_3.0_1726576146023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_akira10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_akira10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_akira10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/Akira10/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_all_smilingface88_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_all_smilingface88_pipeline_en.md
new file mode 100644
index 00000000000000..3fb59d99e76073
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_all_smilingface88_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_smilingface88_pipeline pipeline XlmRoBertaForTokenClassification from smilingface88
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_smilingface88_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_smilingface88_pipeline` is a English model originally trained by smilingface88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_smilingface88_pipeline_en_5.5.0_3.0_1726611354410.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_smilingface88_pipeline_en_5.5.0_3.0_1726611354410.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_smilingface88_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_smilingface88_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_smilingface88_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/smilingface88/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_arabic_roaaoal_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_arabic_roaaoal_en.md
new file mode 100644
index 00000000000000..5ff0730cec9b64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_arabic_roaaoal_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_arabic_roaaoal XlmRoBertaForTokenClassification from roaaoal
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_arabic_roaaoal
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_arabic_roaaoal` is a English model originally trained by roaaoal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_arabic_roaaoal_en_5.5.0_3.0_1726611141660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_arabic_roaaoal_en_5.5.0_3.0_1726611141660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_arabic_roaaoal|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|843.6 MB|
+
+## References
+
+https://huggingface.co/roaaoal/xlm-roberta-base-finetuned-panx-ar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_54data_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_54data_en.md
new file mode 100644
index 00000000000000..7adfdda0042655
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_54data_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_54data XlmRoBertaForTokenClassification from 54data
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_54data
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_54data` is a English model originally trained by 54data.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_54data_en_5.5.0_3.0_1726611941185.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_54data_en_5.5.0_3.0_1726611941185.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_54data|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/54data/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_54data_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_54data_pipeline_en.md
new file mode 100644
index 00000000000000..0222a7cbed91e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_54data_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_54data_pipeline pipeline XlmRoBertaForTokenClassification from 54data
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_54data_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_54data_pipeline` is a English model originally trained by 54data.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_54data_pipeline_en_5.5.0_3.0_1726612037462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_54data_pipeline_en_5.5.0_3.0_1726612037462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_54data_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_54data_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_54data_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/54data/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_sbpark_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_sbpark_pipeline_en.md
new file mode 100644
index 00000000000000..4a247a36c3ccb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_sbpark_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_sbpark_pipeline pipeline XlmRoBertaForTokenClassification from sbpark
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_sbpark_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_sbpark_pipeline` is a English model originally trained by sbpark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_sbpark_pipeline_en_5.5.0_3.0_1726575756493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_sbpark_pipeline_en_5.5.0_3.0_1726575756493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_sbpark_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_sbpark_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_sbpark_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/sbpark/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_french_mjqing_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_french_mjqing_en.md
new file mode 100644
index 00000000000000..cfdfe11742bccd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_french_mjqing_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_mjqing XlmRoBertaForTokenClassification from MJQing
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_mjqing
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_mjqing` is a English model originally trained by MJQing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_mjqing_en_5.5.0_3.0_1726611468230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_mjqing_en_5.5.0_3.0_1726611468230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_mjqing|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/MJQing/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_french_monkdalma_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_french_monkdalma_pipeline_en.md
new file mode 100644
index 00000000000000..02da0cba35ac21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_french_monkdalma_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_monkdalma_pipeline pipeline XlmRoBertaForTokenClassification from MonkDalma
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_monkdalma_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_monkdalma_pipeline` is a English model originally trained by MonkDalma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_monkdalma_pipeline_en_5.5.0_3.0_1726576688020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_monkdalma_pipeline_en_5.5.0_3.0_1726576688020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_monkdalma_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_monkdalma_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_monkdalma_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/MonkDalma/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_french_wooihen_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_french_wooihen_en.md
new file mode 100644
index 00000000000000..7946de15d23997
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_french_wooihen_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_wooihen XlmRoBertaForTokenClassification from wooihen
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_wooihen
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_wooihen` is a English model originally trained by wooihen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_wooihen_en_5.5.0_3.0_1726612455082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_wooihen_en_5.5.0_3.0_1726612455082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_wooihen|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/wooihen/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_gulermuslim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_gulermuslim_pipeline_en.md
new file mode 100644
index 00000000000000..2202fbc2cf5dad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_gulermuslim_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_gulermuslim_pipeline pipeline XlmRoBertaForTokenClassification from gulermuslim
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_gulermuslim_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_gulermuslim_pipeline` is a English model originally trained by gulermuslim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_gulermuslim_pipeline_en_5.5.0_3.0_1726612185227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_gulermuslim_pipeline_en_5.5.0_3.0_1726612185227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_gulermuslim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_gulermuslim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_gulermuslim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/gulermuslim/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_takapy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_takapy_pipeline_en.md
new file mode 100644
index 00000000000000..63abd42756e9b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_takapy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_takapy_pipeline pipeline XlmRoBertaForTokenClassification from takapy
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_takapy_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_takapy_pipeline` is a English model originally trained by takapy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_takapy_pipeline_en_5.5.0_3.0_1726611139614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_takapy_pipeline_en_5.5.0_3.0_1726611139614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_takapy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_takapy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_takapy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/takapy/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_woonn_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_woonn_en.md
new file mode 100644
index 00000000000000..c09c3696bb0ba5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_woonn_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_woonn XlmRoBertaForTokenClassification from Woonn
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_woonn
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_woonn` is a English model originally trained by Woonn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_woonn_en_5.5.0_3.0_1726612264776.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_woonn_en_5.5.0_3.0_1726612264776.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_woonn|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.4 MB|
+
+## References
+
+https://huggingface.co/Woonn/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_italian_team_nave_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_italian_team_nave_en.md
new file mode 100644
index 00000000000000..9b073bf6f79987
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_italian_team_nave_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_team_nave XlmRoBertaForTokenClassification from team-nave
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_team_nave
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_team_nave` is a English model originally trained by team-nave.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_team_nave_en_5.5.0_3.0_1726612621118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_team_nave_en_5.5.0_3.0_1726612621118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_team_nave|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.5 MB|
+
+## References
+
+https://huggingface.co/team-nave/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_italian_u00890358_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_italian_u00890358_en.md
new file mode 100644
index 00000000000000..2841341886cebf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_italian_u00890358_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_u00890358 XlmRoBertaForTokenClassification from u00890358
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_u00890358
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_u00890358` is a English model originally trained by u00890358.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_u00890358_en_5.5.0_3.0_1726611539458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_u00890358_en_5.5.0_3.0_1726611539458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_ud_arabic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|ar|
+|Size:|828.4 MB|
+
+## References
+
+https://huggingface.co/mohammedaly22/xlm-roberta-base-finetuned-ud-arabic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-1gen_innerexplorer_reviews_sentiment_low_rating_based_samples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-1gen_innerexplorer_reviews_sentiment_low_rating_based_samples_pipeline_en.md
new file mode 100644
index 00000000000000..2ad743b6e7b627
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-1gen_innerexplorer_reviews_sentiment_low_rating_based_samples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 1gen_innerexplorer_reviews_sentiment_low_rating_based_samples_pipeline pipeline DistilBertForSequenceClassification from Shraddha257
+author: John Snow Labs
+name: 1gen_innerexplorer_reviews_sentiment_low_rating_based_samples_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`1gen_innerexplorer_reviews_sentiment_low_rating_based_samples_pipeline` is a English model originally trained by Shraddha257.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/1gen_innerexplorer_reviews_sentiment_low_rating_based_samples_pipeline_en_5.5.0_3.0_1726625943114.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/1gen_innerexplorer_reviews_sentiment_low_rating_based_samples_pipeline_en_5.5.0_3.0_1726625943114.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("1gen_innerexplorer_reviews_sentiment_low_rating_based_samples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("1gen_innerexplorer_reviews_sentiment_low_rating_based_samples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|1gen_innerexplorer_reviews_sentiment_low_rating_based_samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Shraddha257/1GEN-innerexplorer-reviews-sentiment-low-rating-based-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-2020_q4_full_tweets_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-2020_q4_full_tweets_pipeline_en.md
new file mode 100644
index 00000000000000..f37c5163ad86b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-2020_q4_full_tweets_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2020_q4_full_tweets_pipeline pipeline RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q4_full_tweets_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q4_full_tweets_pipeline` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q4_full_tweets_pipeline_en_5.5.0_3.0_1726678678583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q4_full_tweets_pipeline_en_5.5.0_3.0_1726678678583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2020_q4_full_tweets_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2020_q4_full_tweets_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q4_full_tweets_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q4-full_tweets
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-38650821_a0f5_4236_aa69_8f167a79306a_en.md b/docs/_posts/ahmedlone127/2024-09-18-38650821_a0f5_4236_aa69_8f167a79306a_en.md
new file mode 100644
index 00000000000000..ba1b439a06a767
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-38650821_a0f5_4236_aa69_8f167a79306a_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 38650821_a0f5_4236_aa69_8f167a79306a RoBertaForSequenceClassification from IDQO
+author: John Snow Labs
+name: 38650821_a0f5_4236_aa69_8f167a79306a
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`38650821_a0f5_4236_aa69_8f167a79306a` is a English model originally trained by IDQO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/38650821_a0f5_4236_aa69_8f167a79306a_en_5.5.0_3.0_1726641549637.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/38650821_a0f5_4236_aa69_8f167a79306a_en_5.5.0_3.0_1726641549637.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|38650821_a0f5_4236_aa69_8f167a79306a|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.0 MB|
+
+## References
+
+https://huggingface.co/IDQO/38650821-a0f5-4236-aa69-8f167a79306a
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-847_capstone_tweets_bert_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-847_capstone_tweets_bert_v2_pipeline_en.md
new file mode 100644
index 00000000000000..53f8fb612c4ccb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-847_capstone_tweets_bert_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 847_capstone_tweets_bert_v2_pipeline pipeline BertForSequenceClassification from LearnerSX
+author: John Snow Labs
+name: 847_capstone_tweets_bert_v2_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`847_capstone_tweets_bert_v2_pipeline` is a English model originally trained by LearnerSX.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/847_capstone_tweets_bert_v2_pipeline_en_5.5.0_3.0_1726647398045.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/847_capstone_tweets_bert_v2_pipeline_en_5.5.0_3.0_1726647398045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("847_capstone_tweets_bert_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("847_capstone_tweets_bert_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|847_capstone_tweets_bert_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/LearnerSX/847_capstone_tweets_bert_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-absa_restaurant_froberta_base_v0_en.md b/docs/_posts/ahmedlone127/2024-09-18-absa_restaurant_froberta_base_v0_en.md
new file mode 100644
index 00000000000000..1d84b3a3a62e3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-absa_restaurant_froberta_base_v0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English absa_restaurant_froberta_base_v0 RoBertaEmbeddings from AliAhmad001
+author: John Snow Labs
+name: absa_restaurant_froberta_base_v0
+date: 2024-09-18
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`absa_restaurant_froberta_base_v0` is a English model originally trained by AliAhmad001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/absa_restaurant_froberta_base_v0_en_5.5.0_3.0_1726626496606.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/absa_restaurant_froberta_base_v0_en_5.5.0_3.0_1726626496606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|absa_restaurant_froberta_base_v0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/AliAhmad001/absa-restaurant-froberta-base-v0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-acrossapps_ndd_phoenix_test_content_en.md b/docs/_posts/ahmedlone127/2024-09-18-acrossapps_ndd_phoenix_test_content_en.md
new file mode 100644
index 00000000000000..a86c116483ac4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-acrossapps_ndd_phoenix_test_content_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English acrossapps_ndd_phoenix_test_content DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: acrossapps_ndd_phoenix_test_content
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`acrossapps_ndd_phoenix_test_content` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/acrossapps_ndd_phoenix_test_content_en_5.5.0_3.0_1726669851098.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/acrossapps_ndd_phoenix_test_content_en_5.5.0_3.0_1726669851098.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|acrossapps_ndd_phoenix_test_content|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/ACROSSAPPS_NDD-phoenix_test-content
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-afro_xlmr_base_igbo_2e_5_en.md b/docs/_posts/ahmedlone127/2024-09-18-afro_xlmr_base_igbo_2e_5_en.md
new file mode 100644
index 00000000000000..c0254ddb53c4ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-afro_xlmr_base_igbo_2e_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English afro_xlmr_base_igbo_2e_5 XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: afro_xlmr_base_igbo_2e_5
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afro_xlmr_base_igbo_2e_5` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_igbo_2e_5_en_5.5.0_3.0_1726663193620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_igbo_2e_5_en_5.5.0_3.0_1726663193620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afro_xlmr_base_igbo_2e_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/grace-pro/afro-xlmr-base-igbo-2e-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-afro_xlmr_base_igbo_2e_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-afro_xlmr_base_igbo_2e_5_pipeline_en.md
new file mode 100644
index 00000000000000..6bf70281865c59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-afro_xlmr_base_igbo_2e_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English afro_xlmr_base_igbo_2e_5_pipeline pipeline XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: afro_xlmr_base_igbo_2e_5_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afro_xlmr_base_igbo_2e_5_pipeline` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_igbo_2e_5_pipeline_en_5.5.0_3.0_1726663245251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_igbo_2e_5_pipeline_en_5.5.0_3.0_1726663245251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("afro_xlmr_base_igbo_2e_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("afro_xlmr_base_igbo_2e_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afro_xlmr_base_igbo_2e_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/grace-pro/afro-xlmr-base-igbo-2e-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-agriculture_classification_zh.md b/docs/_posts/ahmedlone127/2024-09-18-agriculture_classification_zh.md
new file mode 100644
index 00000000000000..777e4890ff928d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-agriculture_classification_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese agriculture_classification BertForSequenceClassification from NchuNLP
+author: John Snow Labs
+name: agriculture_classification
+date: 2024-09-18
+tags: [zh, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`agriculture_classification` is a Chinese model originally trained by NchuNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/agriculture_classification_zh_5.5.0_3.0_1726648023939.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/agriculture_classification_zh_5.5.0_3.0_1726648023939.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|agriculture_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|383.2 MB|
+
+## References
+
+https://huggingface.co/NchuNLP/Agriculture-Classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-albert_base_jackh1995_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-albert_base_jackh1995_pipeline_en.md
new file mode 100644
index 00000000000000..4b222aa31c980d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-albert_base_jackh1995_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English albert_base_jackh1995_pipeline pipeline BertForQuestionAnswering from jackh1995
+author: John Snow Labs
+name: albert_base_jackh1995_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_jackh1995_pipeline` is a English model originally trained by jackh1995.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_jackh1995_pipeline_en_5.5.0_3.0_1726658626794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_jackh1995_pipeline_en_5.5.0_3.0_1726658626794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_base_jackh1995_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_base_jackh1995_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_jackh1995_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|380.8 MB|
+
+## References
+
+https://huggingface.co/jackh1995/albert-base
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-alclam_base_v1_en.md b/docs/_posts/ahmedlone127/2024-09-18-alclam_base_v1_en.md
new file mode 100644
index 00000000000000..751a15b514790f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-alclam_base_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English alclam_base_v1 RoBertaEmbeddings from rahbi
+author: John Snow Labs
+name: alclam_base_v1
+date: 2024-09-18
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alclam_base_v1` is a English model originally trained by rahbi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alclam_base_v1_en_5.5.0_3.0_1726651949134.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alclam_base_v1_en_5.5.0_3.0_1726651949134.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alclam_base_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|470.1 MB|
+
+## References
+
+https://huggingface.co/rahbi/alclam-base-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-alclam_base_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-alclam_base_v1_pipeline_en.md
new file mode 100644
index 00000000000000..515d420e67a108
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-alclam_base_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English alclam_base_v1_pipeline pipeline RoBertaEmbeddings from rahbi
+author: John Snow Labs
+name: alclam_base_v1_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alclam_base_v1_pipeline` is a English model originally trained by rahbi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alclam_base_v1_pipeline_en_5.5.0_3.0_1726651972106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alclam_base_v1_pipeline_en_5.5.0_3.0_1726651972106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("alclam_base_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("alclam_base_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alclam_base_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|470.1 MB|
+
+## References
+
+https://huggingface.co/rahbi/alclam-base-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-amazon_helpfulness_classification_on_tapt_pretrained_freeze_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-amazon_helpfulness_classification_on_tapt_pretrained_freeze_pipeline_en.md
new file mode 100644
index 00000000000000..3d7ee159fda47c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-amazon_helpfulness_classification_on_tapt_pretrained_freeze_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English amazon_helpfulness_classification_on_tapt_pretrained_freeze_pipeline pipeline RoBertaForSequenceClassification from ltuzova
+author: John Snow Labs
+name: amazon_helpfulness_classification_on_tapt_pretrained_freeze_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_helpfulness_classification_on_tapt_pretrained_freeze_pipeline` is a English model originally trained by ltuzova.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_helpfulness_classification_on_tapt_pretrained_freeze_pipeline_en_5.5.0_3.0_1726642308941.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_helpfulness_classification_on_tapt_pretrained_freeze_pipeline_en_5.5.0_3.0_1726642308941.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("amazon_helpfulness_classification_on_tapt_pretrained_freeze_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("amazon_helpfulness_classification_on_tapt_pretrained_freeze_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_helpfulness_classification_on_tapt_pretrained_freeze_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/ltuzova/amazon_helpfulness_classification_on_TAPT_pretrained_freeze
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-amazon_spanish_reviews_en.md b/docs/_posts/ahmedlone127/2024-09-18-amazon_spanish_reviews_en.md
new file mode 100644
index 00000000000000..9fe5e31e7116e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-amazon_spanish_reviews_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English amazon_spanish_reviews RoBertaForSequenceClassification from santyzenith
+author: John Snow Labs
+name: amazon_spanish_reviews
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_spanish_reviews` is a English model originally trained by santyzenith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_spanish_reviews_en_5.5.0_3.0_1726649826376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_spanish_reviews_en_5.5.0_3.0_1726649826376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_spanish_reviews|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|440.9 MB|
+
+## References
+
+https://huggingface.co/santyzenith/amazon_es_reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-argureviews_aspect_roberta_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-argureviews_aspect_roberta_v1_pipeline_en.md
new file mode 100644
index 00000000000000..729a0f1dcede0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-argureviews_aspect_roberta_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English argureviews_aspect_roberta_v1_pipeline pipeline XlmRoBertaForSequenceClassification from nihiluis
+author: John Snow Labs
+name: argureviews_aspect_roberta_v1_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`argureviews_aspect_roberta_v1_pipeline` is a English model originally trained by nihiluis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/argureviews_aspect_roberta_v1_pipeline_en_5.5.0_3.0_1726659784942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/argureviews_aspect_roberta_v1_pipeline_en_5.5.0_3.0_1726659784942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("argureviews_aspect_roberta_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("argureviews_aspect_roberta_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|argureviews_aspect_roberta_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|830.3 MB|
+
+## References
+
+https://huggingface.co/nihiluis/argureviews-aspect-roberta_v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-berel_2_0_sam_v3_en.md b/docs/_posts/ahmedlone127/2024-09-18-berel_2_0_sam_v3_en.md
new file mode 100644
index 00000000000000..65afa0d7e77180
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-berel_2_0_sam_v3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English berel_2_0_sam_v3 BertEmbeddings from johnlockejrr
+author: John Snow Labs
+name: berel_2_0_sam_v3
+date: 2024-09-18
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`berel_2_0_sam_v3` is a English model originally trained by johnlockejrr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berel_2_0_sam_v3_en_5.5.0_3.0_1726673158799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berel_2_0_sam_v3_en_5.5.0_3.0_1726673158799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berel_2_0_sam_v3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|689.8 MB|
+
+## References
+
+https://huggingface.co/johnlockejrr/BEREL_2.0-sam-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_base_cased_temp_classifier_bootstrapped_v2_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_base_cased_temp_classifier_bootstrapped_v2_en.md
new file mode 100644
index 00000000000000..496b6ef674636a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_base_cased_temp_classifier_bootstrapped_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_temp_classifier_bootstrapped_v2 BertForSequenceClassification from research-dump
+author: John Snow Labs
+name: bert_base_cased_temp_classifier_bootstrapped_v2
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_temp_classifier_bootstrapped_v2` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_temp_classifier_bootstrapped_v2_en_5.5.0_3.0_1726648043859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_temp_classifier_bootstrapped_v2_en_5.5.0_3.0_1726648043859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_temp_classifier_bootstrapped_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/research-dump/bert-base-cased_temp_classifier_bootstrapped_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_base_historic_dutch_cased_squad_dutch_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_base_historic_dutch_cased_squad_dutch_pipeline_en.md
new file mode 100644
index 00000000000000..2e0c294771c42f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_base_historic_dutch_cased_squad_dutch_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_historic_dutch_cased_squad_dutch_pipeline pipeline BertForQuestionAnswering from Nadav
+author: John Snow Labs
+name: bert_base_historic_dutch_cased_squad_dutch_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_historic_dutch_cased_squad_dutch_pipeline` is a English model originally trained by Nadav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_historic_dutch_cased_squad_dutch_pipeline_en_5.5.0_3.0_1726659153010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_historic_dutch_cased_squad_dutch_pipeline_en_5.5.0_3.0_1726659153010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_historic_dutch_cased_squad_dutch_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_historic_dutch_cased_squad_dutch_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_historic_dutch_cased_squad_dutch_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/Nadav/bert-base-historic-dutch-cased-squad-nl
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_en.md
new file mode 100644
index 00000000000000..76608a62459be8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946 BertForQuestionAnswering from alcalazans
+author: John Snow Labs
+name: bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946` is a English model originally trained by alcalazans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_en_5.5.0_3.0_1726667896402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_en_5.5.0_3.0_1726667896402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_320240905195834|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.320240905195834
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_base_squad_v1_1_portuguese_ibama_v0_320240905195834_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_base_squad_v1_1_portuguese_ibama_v0_320240905195834_pipeline_en.md
new file mode 100644
index 00000000000000..9a1a1e9957e0fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_base_squad_v1_1_portuguese_ibama_v0_320240905195834_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_squad_v1_1_portuguese_ibama_v0_320240905195834_pipeline pipeline BertForQuestionAnswering from alcalazans
+author: John Snow Labs
+name: bert_base_squad_v1_1_portuguese_ibama_v0_320240905195834_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_squad_v1_1_portuguese_ibama_v0_320240905195834_pipeline` is a English model originally trained by alcalazans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_320240905195834_pipeline_en_5.5.0_3.0_1726668284783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_320240905195834_pipeline_en_5.5.0_3.0_1726668284783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_320240905195834_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_320240905195834_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_320240905195834_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.320240905195834
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_base_uncased_finetuned_mol_mlm_0_3_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_base_uncased_finetuned_mol_mlm_0_3_en.md
new file mode 100644
index 00000000000000..35e3dd87a68f8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_base_uncased_finetuned_mol_mlm_0_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mol_mlm_0_3 BertEmbeddings from matr1xx
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mol_mlm_0_3
+date: 2024-09-18
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_mol_mlm_0_3` is a English model originally trained by matr1xx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mol_mlm_0_3_en_5.5.0_3.0_1726700567256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mol_mlm_0_3_en_5.5.0_3.0_1726700567256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mol_mlm_0_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/matr1xx/bert-base-uncased-finetuned-mol-mlm-0.3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_base_uncased_finetuned_skydata_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_base_uncased_finetuned_skydata_en.md
new file mode 100644
index 00000000000000..f8974444aa7e5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_base_uncased_finetuned_skydata_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_skydata BertForSequenceClassification from sravaniayyagari
+author: John Snow Labs
+name: bert_base_uncased_finetuned_skydata
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_skydata` is a English model originally trained by sravaniayyagari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_skydata_en_5.5.0_3.0_1726647604304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_skydata_en_5.5.0_3.0_1726647604304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_takaiwai|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/takaiwai/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_finetuned_ner_adigo_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_finetuned_ner_adigo_en.md
new file mode 100644
index 00000000000000..f2081849ac3f1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_finetuned_ner_adigo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_adigo BertForTokenClassification from adigo
+author: John Snow Labs
+name: bert_finetuned_ner_adigo
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_adigo` is a English model originally trained by adigo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_adigo_en_5.5.0_3.0_1726699245121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_adigo_en_5.5.0_3.0_1726699245121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_adigo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.3 MB|
+
+## References
+
+https://huggingface.co/adigo/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_intent_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_intent_classifier_en.md
new file mode 100644
index 00000000000000..2e073f06efae75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_intent_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_intent_classifier DistilBertForSequenceClassification from Maaz911
+author: John Snow Labs
+name: bert_intent_classifier
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_intent_classifier` is a English model originally trained by Maaz911.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_intent_classifier_en_5.5.0_3.0_1726625969578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_intent_classifier_en_5.5.0_3.0_1726625969578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_intent_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Maaz911/bert-intent-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_adelinachirtes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_adelinachirtes_pipeline_en.md
new file mode 100644
index 00000000000000..6ef0d5d5671545
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_adelinachirtes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_adelinachirtes_pipeline pipeline DistilBertForSequenceClassification from adelinachirtes
+author: John Snow Labs
+name: burmese_awesome_model_adelinachirtes_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_adelinachirtes_pipeline` is a English model originally trained by adelinachirtes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_adelinachirtes_pipeline_en_5.5.0_3.0_1726681504607.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_adelinachirtes_pipeline_en_5.5.0_3.0_1726681504607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_adelinachirtes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_adelinachirtes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_adelinachirtes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/adelinachirtes/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dguywill_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dguywill_pipeline_en.md
new file mode 100644
index 00000000000000..bf61c7fa31d093
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dguywill_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_dguywill_pipeline pipeline DistilBertForSequenceClassification from dguywill
+author: John Snow Labs
+name: burmese_awesome_model_dguywill_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_dguywill_pipeline` is a English model originally trained by dguywill.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dguywill_pipeline_en_5.5.0_3.0_1726694901013.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dguywill_pipeline_en_5.5.0_3.0_1726694901013.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_dguywill_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_dguywill_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_dguywill_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dguywill/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dldnlee_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dldnlee_pipeline_en.md
new file mode 100644
index 00000000000000..6f09378dddd918
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dldnlee_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_dldnlee_pipeline pipeline DistilBertForSequenceClassification from dldnlee
+author: John Snow Labs
+name: burmese_awesome_model_dldnlee_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_dldnlee_pipeline` is a English model originally trained by dldnlee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dldnlee_pipeline_en_5.5.0_3.0_1726696448331.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dldnlee_pipeline_en_5.5.0_3.0_1726696448331.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_dldnlee_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_dldnlee_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_dldnlee_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dldnlee/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_jayhook_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_jayhook_en.md
new file mode 100644
index 00000000000000..208b9917436ded
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_jayhook_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_jayhook DistilBertForSequenceClassification from jayhook
+author: John Snow Labs
+name: burmese_awesome_model_jayhook
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jayhook` is a English model originally trained by jayhook.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jayhook_en_5.5.0_3.0_1726625575485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jayhook_en_5.5.0_3.0_1726625575485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_jayhook|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jayhook/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_ruiminszb_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_ruiminszb_en.md
new file mode 100644
index 00000000000000..ca54e92c2ebf93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_ruiminszb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_ruiminszb DistilBertForSequenceClassification from ruiminszb
+author: John Snow Labs
+name: burmese_awesome_model_ruiminszb
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ruiminszb` is a English model originally trained by ruiminszb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ruiminszb_en_5.5.0_3.0_1726669544179.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ruiminszb_en_5.5.0_3.0_1726669544179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_ruiminszb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|345.1 MB|
+
+## References
+
+https://huggingface.co/ruiminszb/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_ruiminszb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_ruiminszb_pipeline_en.md
new file mode 100644
index 00000000000000..a970596e922732
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_ruiminszb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_ruiminszb_pipeline pipeline DistilBertForSequenceClassification from ruiminszb
+author: John Snow Labs
+name: burmese_awesome_model_ruiminszb_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ruiminszb_pipeline` is a English model originally trained by ruiminszb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ruiminszb_pipeline_en_5.5.0_3.0_1726669562253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ruiminszb_pipeline_en_5.5.0_3.0_1726669562253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_ruiminszb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_ruiminszb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_ruiminszb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|345.1 MB|
+
+## References
+
+https://huggingface.co/ruiminszb/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_thebisso09_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_thebisso09_en.md
new file mode 100644
index 00000000000000..046d42a2aba1eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_thebisso09_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_thebisso09 DistilBertForSequenceClassification from Thebisso09
+author: John Snow Labs
+name: burmese_awesome_model_thebisso09
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_thebisso09` is a English model originally trained by Thebisso09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thebisso09_en_5.5.0_3.0_1726681798763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thebisso09_en_5.5.0_3.0_1726681798763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_ashishkj23|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ashishkj23/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_qa_model_ashishkj23_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_qa_model_ashishkj23_pipeline_en.md
new file mode 100644
index 00000000000000..5c2d5e2727ec3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_qa_model_ashishkj23_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_ashishkj23_pipeline pipeline DistilBertForQuestionAnswering from ashishkj23
+author: John Snow Labs
+name: burmese_awesome_qa_model_ashishkj23_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_ashishkj23_pipeline` is a English model originally trained by ashishkj23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ashishkj23_pipeline_en_5.5.0_3.0_1726641007692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ashishkj23_pipeline_en_5.5.0_3.0_1726641007692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_ashishkj23_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_ashishkj23_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_ashishkj23_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ashishkj23/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_text_classification_hles67101_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_text_classification_hles67101_en.md
new file mode 100644
index 00000000000000..36ba493472b2a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_text_classification_hles67101_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_text_classification_hles67101 DistilBertForSequenceClassification from hles67101
+author: John Snow Labs
+name: burmese_awesome_text_classification_hles67101
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_text_classification_hles67101` is a English model originally trained by hles67101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_text_classification_hles67101_en_5.5.0_3.0_1726681930314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_text_classification_hles67101_en_5.5.0_3.0_1726681930314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_text_classification_hles67101|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/hles67101/my-awesome-text-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_text_classification_hles67101_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_text_classification_hles67101_pipeline_en.md
new file mode 100644
index 00000000000000..62fa7fc28fbc0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_text_classification_hles67101_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_text_classification_hles67101_pipeline pipeline DistilBertForSequenceClassification from hles67101
+author: John Snow Labs
+name: burmese_awesome_text_classification_hles67101_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_text_classification_hles67101_pipeline` is a English model originally trained by hles67101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_text_classification_hles67101_pipeline_en_5.5.0_3.0_1726681943454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_text_classification_hles67101_pipeline_en_5.5.0_3.0_1726681943454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_text_classification_hles67101_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_text_classification_hles67101_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_text_classification_hles67101_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/hles67101/my-awesome-text-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_model_ashdev01_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_model_ashdev01_en.md
new file mode 100644
index 00000000000000..394af47b70c5d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_model_ashdev01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_model_ashdev01 RoBertaEmbeddings from ashdev01
+author: John Snow Labs
+name: burmese_model_ashdev01
+date: 2024-09-18
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_ashdev01` is a English model originally trained by ashdev01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_ashdev01_en_5.5.0_3.0_1726678591374.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_ashdev01_en_5.5.0_3.0_1726678591374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_model_ashdev01|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ashdev01/my_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-chuvash_nlp_en.md b/docs/_posts/ahmedlone127/2024-09-18-chuvash_nlp_en.md
new file mode 100644
index 00000000000000..bdd12c1e9e872b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-chuvash_nlp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English chuvash_nlp DistilBertForSequenceClassification from capjamesg
+author: John Snow Labs
+name: chuvash_nlp
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chuvash_nlp` is a English model originally trained by capjamesg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chuvash_nlp_en_5.5.0_3.0_1726676988381.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chuvash_nlp_en_5.5.0_3.0_1726676988381.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chuvash_nlp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/capjamesg/cv-nlp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-chuvash_nlp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-chuvash_nlp_pipeline_en.md
new file mode 100644
index 00000000000000..6771c398cd1671
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-chuvash_nlp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English chuvash_nlp_pipeline pipeline DistilBertForSequenceClassification from capjamesg
+author: John Snow Labs
+name: chuvash_nlp_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chuvash_nlp_pipeline` is a English model originally trained by capjamesg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chuvash_nlp_pipeline_en_5.5.0_3.0_1726677000907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chuvash_nlp_pipeline_en_5.5.0_3.0_1726677000907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("chuvash_nlp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("chuvash_nlp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chuvash_nlp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/capjamesg/cv-nlp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-custommodel_v3c_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-custommodel_v3c_pipeline_en.md
new file mode 100644
index 00000000000000..56486a54a605d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-custommodel_v3c_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English custommodel_v3c_pipeline pipeline DistilBertForSequenceClassification from xiaoylin
+author: John Snow Labs
+name: custommodel_v3c_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`custommodel_v3c_pipeline` is a English model originally trained by xiaoylin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/custommodel_v3c_pipeline_en_5.5.0_3.0_1726677044121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/custommodel_v3c_pipeline_en_5.5.0_3.0_1726677044121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("custommodel_v3c_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("custommodel_v3c_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|custommodel_v3c_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|257.2 KB|
+
+## References
+
+https://huggingface.co/xiaoylin/CustomModel_v3c
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-db_mc2_3_1_en.md b/docs/_posts/ahmedlone127/2024-09-18-db_mc2_3_1_en.md
new file mode 100644
index 00000000000000..03f8db9d289cef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-db_mc2_3_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English db_mc2_3_1 DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_mc2_3_1
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_mc2_3_1` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_mc2_3_1_en_5.5.0_3.0_1726625321106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_mc2_3_1_en_5.5.0_3.0_1726625321106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_mc2_3_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/exala/db_mc2_3.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-db_mc2_3_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-db_mc2_3_1_pipeline_en.md
new file mode 100644
index 00000000000000..ae0c33b515478f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-db_mc2_3_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English db_mc2_3_1_pipeline pipeline DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_mc2_3_1_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_mc2_3_1_pipeline` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_mc2_3_1_pipeline_en_5.5.0_3.0_1726625333400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_mc2_3_1_pipeline_en_5.5.0_3.0_1726625333400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("db_mc2_3_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("db_mc2_3_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_mc2_3_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/exala/db_mc2_3.1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-db_mc2_3_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-db_mc2_3_2_pipeline_en.md
new file mode 100644
index 00000000000000..d0b70499999524
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-db_mc2_3_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English db_mc2_3_2_pipeline pipeline DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_mc2_3_2_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_mc2_3_2_pipeline` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_mc2_3_2_pipeline_en_5.5.0_3.0_1726625639976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_mc2_3_2_pipeline_en_5.5.0_3.0_1726625639976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("db_mc2_3_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("db_mc2_3_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_mc2_3_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/exala/db_mc2_3.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-demo_model_tanmoyeeroy_en.md b/docs/_posts/ahmedlone127/2024-09-18-demo_model_tanmoyeeroy_en.md
new file mode 100644
index 00000000000000..e84c5aa9ad781d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-demo_model_tanmoyeeroy_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English demo_model_tanmoyeeroy DistilBertForSequenceClassification from TanmoyeeRoy
+author: John Snow Labs
+name: demo_model_tanmoyeeroy
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_model_tanmoyeeroy` is a English model originally trained by TanmoyeeRoy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_model_tanmoyeeroy_en_5.5.0_3.0_1726630710478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_model_tanmoyeeroy_en_5.5.0_3.0_1726630710478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|demo_model_tanmoyeeroy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TanmoyeeRoy/demo_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-demo_model_tanmoyeeroy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-demo_model_tanmoyeeroy_pipeline_en.md
new file mode 100644
index 00000000000000..2c0034c9b0e722
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-demo_model_tanmoyeeroy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English demo_model_tanmoyeeroy_pipeline pipeline DistilBertForSequenceClassification from TanmoyeeRoy
+author: John Snow Labs
+name: demo_model_tanmoyeeroy_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_model_tanmoyeeroy_pipeline` is a English model originally trained by TanmoyeeRoy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_model_tanmoyeeroy_pipeline_en_5.5.0_3.0_1726630722999.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_model_tanmoyeeroy_pipeline_en_5.5.0_3.0_1726630722999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("demo_model_tanmoyeeroy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("demo_model_tanmoyeeroy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|demo_model_tanmoyeeroy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TanmoyeeRoy/demo_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-did_the_doctor_give_you_his_name_bert_first128_en.md b/docs/_posts/ahmedlone127/2024-09-18-did_the_doctor_give_you_his_name_bert_first128_en.md
new file mode 100644
index 00000000000000..c1d2bd3d8fc4fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-did_the_doctor_give_you_his_name_bert_first128_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English did_the_doctor_give_you_his_name_bert_first128 BertForSequenceClassification from etadevosyan
+author: John Snow Labs
+name: did_the_doctor_give_you_his_name_bert_first128
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`did_the_doctor_give_you_his_name_bert_first128` is a English model originally trained by etadevosyan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/did_the_doctor_give_you_his_name_bert_first128_en_5.5.0_3.0_1726624439017.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/did_the_doctor_give_you_his_name_bert_first128_en_5.5.0_3.0_1726624439017.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|did_the_doctor_give_you_his_name_bert_first128|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/etadevosyan/did_the_doctor_give_you_his_name_bert_First128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-discriminator_paraphrase_en.md b/docs/_posts/ahmedlone127/2024-09-18-discriminator_paraphrase_en.md
new file mode 100644
index 00000000000000..42d8ef18a43e80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-discriminator_paraphrase_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English discriminator_paraphrase RoBertaForSequenceClassification from ihgn
+author: John Snow Labs
+name: discriminator_paraphrase
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`discriminator_paraphrase` is a English model originally trained by ihgn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/discriminator_paraphrase_en_5.5.0_3.0_1726641509006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/discriminator_paraphrase_en_5.5.0_3.0_1726641509006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_turkish_cased_stance|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|254.1 MB|
+
+## References
+
+https://huggingface.co/byunal/distilbert-base-turkish-cased-stance
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_3epoch2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_3epoch2_pipeline_en.md
new file mode 100644
index 00000000000000..5e4aa1a632dce3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_3epoch2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_3epoch2_pipeline pipeline DistilBertForSequenceClassification from dianamihalache27
+author: John Snow Labs
+name: distilbert_base_uncased_3epoch2_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_3epoch2_pipeline` is a English model originally trained by dianamihalache27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_3epoch2_pipeline_en_5.5.0_3.0_1726676978588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_3epoch2_pipeline_en_5.5.0_3.0_1726676978588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_3epoch2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_3epoch2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_3epoch2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dianamihalache27/distilbert-base-uncased_3epoch2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_credit_cards_zphr_0st72_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_credit_cards_zphr_0st72_en.md
new file mode 100644
index 00000000000000..8a0090828fc36e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_credit_cards_zphr_0st72_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_credit_cards_zphr_0st72 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_credit_cards_zphr_0st72
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_credit_cards_zphr_0st72` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_credit_cards_zphr_0st72_en_5.5.0_3.0_1726680417519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_credit_cards_zphr_0st72_en_5.5.0_3.0_1726680417519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distil_fine_on_bioasq_50_50_shuffled|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jkhsong/distilbert-base-uncased-distil-fine-on-bioasq-50-50-shuffled
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_mealduct_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_mealduct_pipeline_en.md
new file mode 100644
index 00000000000000..b5ba18dbf085dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_mealduct_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_mealduct_pipeline pipeline DistilBertForSequenceClassification from MealDuct
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_mealduct_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_mealduct_pipeline` is a English model originally trained by MealDuct.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_mealduct_pipeline_en_5.5.0_3.0_1726625371883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_mealduct_pipeline_en_5.5.0_3.0_1726625371883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_distilled_clinc_mealduct_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_distilled_clinc_mealduct_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_mealduct_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/MealDuct/distilbert-base-uncased-distilled-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_nachikethmurthy666_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_nachikethmurthy666_en.md
new file mode 100644
index 00000000000000..1d31ad49a3d1fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_nachikethmurthy666_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_nachikethmurthy666 DistilBertForSequenceClassification from nachikethmurthy666
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_nachikethmurthy666
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_nachikethmurthy666` is a English model originally trained by nachikethmurthy666.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_nachikethmurthy666_en_5.5.0_3.0_1726630361382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_nachikethmurthy666_en_5.5.0_3.0_1726630361382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_nachikethmurthy666|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/nachikethmurthy666/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_nachikethmurthy666_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_nachikethmurthy666_pipeline_en.md
new file mode 100644
index 00000000000000..4e67276b31024a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_nachikethmurthy666_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_nachikethmurthy666_pipeline pipeline DistilBertForSequenceClassification from nachikethmurthy666
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_nachikethmurthy666_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_nachikethmurthy666_pipeline` is a English model originally trained by nachikethmurthy666.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_nachikethmurthy666_pipeline_en_5.5.0_3.0_1726630374056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_nachikethmurthy666_pipeline_en_5.5.0_3.0_1726630374056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_distilled_clinc_nachikethmurthy666_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_distilled_clinc_nachikethmurthy666_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_nachikethmurthy666_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/nachikethmurthy666/distilbert-base-uncased-distilled-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_takeshi10days_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_takeshi10days_en.md
new file mode 100644
index 00000000000000..e2c4c44904e66a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_takeshi10days_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_takeshi10days DistilBertForSequenceClassification from Takeshi10Days
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_takeshi10days
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_takeshi10days` is a English model originally trained by Takeshi10Days.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_takeshi10days_en_5.5.0_3.0_1726680325223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_takeshi10days_en_5.5.0_3.0_1726680325223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_takeshi10days|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Takeshi10Days/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_kata958_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_kata958_en.md
new file mode 100644
index 00000000000000..42a14a8899685f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_kata958_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_kata958 DistilBertForSequenceClassification from kata958
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_kata958
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_kata958` is a English model originally trained by kata958.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_kata958_en_5.5.0_3.0_1726625879670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_kata958_en_5.5.0_3.0_1726625879670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_kata958|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/kata958/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_leesihyun_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_leesihyun_pipeline_en.md
new file mode 100644
index 00000000000000..779d27cd673226
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_leesihyun_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_leesihyun_pipeline pipeline DistilBertForSequenceClassification from LEESIHYUN
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_leesihyun_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_leesihyun_pipeline` is a English model originally trained by LEESIHYUN.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_leesihyun_pipeline_en_5.5.0_3.0_1726695186322.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_leesihyun_pipeline_en_5.5.0_3.0_1726695186322.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_leesihyun_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_leesihyun_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_leesihyun_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/LEESIHYUN/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_sokmardy_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_sokmardy_en.md
new file mode 100644
index 00000000000000..13dd2a25d00aac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_sokmardy_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_sokmardy DistilBertForSequenceClassification from Sokmardy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_sokmardy
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_sokmardy` is a English model originally trained by Sokmardy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_sokmardy_en_5.5.0_3.0_1726625743156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_sokmardy_en_5.5.0_3.0_1726625743156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_sokmardy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Sokmardy/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_sokmardy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_sokmardy_pipeline_en.md
new file mode 100644
index 00000000000000..471decfe37aa52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_sokmardy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_sokmardy_pipeline pipeline DistilBertForSequenceClassification from Sokmardy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_sokmardy_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_sokmardy_pipeline` is a English model originally trained by Sokmardy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_sokmardy_pipeline_en_5.5.0_3.0_1726625755530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_sokmardy_pipeline_en_5.5.0_3.0_1726625755530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_sokmardy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_sokmardy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_sokmardy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Sokmardy/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_depi2_emotion_2_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_depi2_emotion_2_en.md
new file mode 100644
index 00000000000000..cffb82b32dab2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_depi2_emotion_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_depi2_emotion_2 DistilBertForSequenceClassification from agoor97
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_depi2_emotion_2
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_depi2_emotion_2` is a English model originally trained by agoor97.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_depi2_emotion_2_en_5.5.0_3.0_1726669655105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_depi2_emotion_2_en_5.5.0_3.0_1726669655105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_depi2_emotion_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/agoor97/distilbert-base-uncased-finetuned-depi2-emotion-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_dodiaz2111_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_dodiaz2111_pipeline_en.md
new file mode 100644
index 00000000000000..4fef2e6bca76c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_dodiaz2111_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_dodiaz2111_pipeline pipeline DistilBertForSequenceClassification from dodiaz2111
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_dodiaz2111_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dodiaz2111_pipeline` is a English model originally trained by dodiaz2111.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dodiaz2111_pipeline_en_5.5.0_3.0_1726630590873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dodiaz2111_pipeline_en_5.5.0_3.0_1726630590873.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_dodiaz2111_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_dodiaz2111_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_dodiaz2111_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dodiaz2111/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_helloyeew_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_helloyeew_pipeline_en.md
new file mode 100644
index 00000000000000..7d6204ac6c4fe5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_helloyeew_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_helloyeew_pipeline pipeline DistilBertForSequenceClassification from helloyeew
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_helloyeew_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_helloyeew_pipeline` is a English model originally trained by helloyeew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_helloyeew_pipeline_en_5.5.0_3.0_1726696448315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_helloyeew_pipeline_en_5.5.0_3.0_1726696448315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_helloyeew_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_helloyeew_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_helloyeew_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/helloyeew/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_jeremyoftheberemies_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_jeremyoftheberemies_pipeline_en.md
new file mode 100644
index 00000000000000..9b8b43ca8e4597
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_jeremyoftheberemies_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jeremyoftheberemies_pipeline pipeline DistilBertForSequenceClassification from jeremyoftheberemies
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jeremyoftheberemies_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jeremyoftheberemies_pipeline` is a English model originally trained by jeremyoftheberemies.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jeremyoftheberemies_pipeline_en_5.5.0_3.0_1726669423313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jeremyoftheberemies_pipeline_en_5.5.0_3.0_1726669423313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_jeremyoftheberemies_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_jeremyoftheberemies_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jeremyoftheberemies_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jeremyoftheberemies/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ms25_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ms25_pipeline_en.md
new file mode 100644
index 00000000000000..01afbc959e64c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ms25_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ms25_pipeline pipeline DistilBertForSequenceClassification from ms25
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ms25_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ms25_pipeline` is a English model originally trained by ms25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ms25_pipeline_en_5.5.0_3.0_1726676985700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ms25_pipeline_en_5.5.0_3.0_1726676985700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_ms25_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_ms25_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ms25_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ms25/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_mu7annad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_mu7annad_pipeline_en.md
new file mode 100644
index 00000000000000..9935f420f99a42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_mu7annad_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_mu7annad_pipeline pipeline DistilBertForSequenceClassification from Mu7annad
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_mu7annad_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mu7annad_pipeline` is a English model originally trained by Mu7annad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mu7annad_pipeline_en_5.5.0_3.0_1726682041990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mu7annad_pipeline_en_5.5.0_3.0_1726682041990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_mu7annad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_mu7annad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_mu7annad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mu7annad/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_rbarteau_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_rbarteau_pipeline_en.md
new file mode 100644
index 00000000000000..be2055da13395e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_rbarteau_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_rbarteau_pipeline pipeline DistilBertForSequenceClassification from rbarteau
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_rbarteau_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rbarteau_pipeline` is a English model originally trained by rbarteau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rbarteau_pipeline_en_5.5.0_3.0_1726695565644.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rbarteau_pipeline_en_5.5.0_3.0_1726695565644.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_rbarteau_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_rbarteau_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_rbarteau_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rbarteau/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_s91023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_s91023_pipeline_en.md
new file mode 100644
index 00000000000000..09aa4b1fd18b37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_s91023_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_s91023_pipeline pipeline DistilBertForSequenceClassification from s91023
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_s91023_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_s91023_pipeline` is a English model originally trained by s91023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_s91023_pipeline_en_5.5.0_3.0_1726669423341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_s91023_pipeline_en_5.5.0_3.0_1726669423341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_s91023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_s91023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_s91023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/s91023/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_shiv_pal_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_shiv_pal_pipeline_en.md
new file mode 100644
index 00000000000000..3b3fea2fae7462
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_shiv_pal_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_shiv_pal_pipeline pipeline DistilBertForSequenceClassification from Shiv-Pal
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_shiv_pal_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shiv_pal_pipeline` is a English model originally trained by Shiv-Pal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shiv_pal_pipeline_en_5.5.0_3.0_1726625773320.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shiv_pal_pipeline_en_5.5.0_3.0_1726625773320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_shiv_pal_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_shiv_pal_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_shiv_pal_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Shiv-Pal/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_sj1011_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_sj1011_en.md
new file mode 100644
index 00000000000000..84901286ad5c6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_sj1011_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sj1011 DistilBertForSequenceClassification from SJ1011
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sj1011
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sj1011` is a English model originally trained by SJ1011.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sj1011_en_5.5.0_3.0_1726680810832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sj1011_en_5.5.0_3.0_1726680810832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sj1011|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SJ1011/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_skylord_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_skylord_en.md
new file mode 100644
index 00000000000000..3b55b8006e13d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_skylord_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_skylord DistilBertForSequenceClassification from skylord
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_skylord
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_skylord` is a English model originally trained by skylord.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skylord_en_5.5.0_3.0_1726625645793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skylord_en_5.5.0_3.0_1726625645793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_skylord|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/skylord/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_sokonana_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_sokonana_en.md
new file mode 100644
index 00000000000000..13f65d03c385ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_sokonana_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sokonana DistilBertForSequenceClassification from sokonana
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sokonana
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sokonana` is a English model originally trained by sokonana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sokonana_en_5.5.0_3.0_1726694965045.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sokonana_en_5.5.0_3.0_1726694965045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sokonana|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sokonana/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_starklin_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_starklin_pipeline_en.md
new file mode 100644
index 00000000000000..6308ce92c698f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_starklin_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_starklin_pipeline pipeline DistilBertForSequenceClassification from starklin
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_starklin_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_starklin_pipeline` is a English model originally trained by starklin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_starklin_pipeline_en_5.5.0_3.0_1726670044585.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_starklin_pipeline_en_5.5.0_3.0_1726670044585.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_starklin_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_starklin_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_starklin_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/starklin/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ujjwalgarg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ujjwalgarg_pipeline_en.md
new file mode 100644
index 00000000000000..1908e02e5db3f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ujjwalgarg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ujjwalgarg_pipeline pipeline DistilBertForSequenceClassification from ujjwalgarg
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ujjwalgarg_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ujjwalgarg_pipeline` is a English model originally trained by ujjwalgarg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ujjwalgarg_pipeline_en_5.5.0_3.0_1726695163922.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ujjwalgarg_pipeline_en_5.5.0_3.0_1726695163922.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_ujjwalgarg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_ujjwalgarg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ujjwalgarg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ujjwalgarg/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_waynesunwen_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_waynesunwen_en.md
new file mode 100644
index 00000000000000..4111d145d37109
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_waynesunwen_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_waynesunwen DistilBertForSequenceClassification from waynesunwen
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_waynesunwen
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_waynesunwen` is a English model originally trained by waynesunwen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_waynesunwen_en_5.5.0_3.0_1726696323387.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_waynesunwen_en_5.5.0_3.0_1726696323387.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_waynesunwen|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/waynesunwen/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_wendao_123_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_wendao_123_pipeline_en.md
new file mode 100644
index 00000000000000..57c56092788376
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_wendao_123_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_wendao_123_pipeline pipeline DistilBertForSequenceClassification from Wendao-123
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_wendao_123_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wendao_123_pipeline` is a English model originally trained by Wendao-123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wendao_123_pipeline_en_5.5.0_3.0_1726625839428.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wendao_123_pipeline_en_5.5.0_3.0_1726625839428.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_wendao_123_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_wendao_123_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_wendao_123_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Wendao-123/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_wooseok0303_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_wooseok0303_en.md
new file mode 100644
index 00000000000000..0c92e59381361b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_wooseok0303_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_wooseok0303 DistilBertForSequenceClassification from wooseok0303
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_wooseok0303
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wooseok0303` is a English model originally trained by wooseok0303.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wooseok0303_en_5.5.0_3.0_1726677517373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wooseok0303_en_5.5.0_3.0_1726677517373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_wooseok0303|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wooseok0303/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_wooseok0303_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_wooseok0303_pipeline_en.md
new file mode 100644
index 00000000000000..659561374b8e63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_wooseok0303_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_wooseok0303_pipeline pipeline DistilBertForSequenceClassification from wooseok0303
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_wooseok0303_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wooseok0303_pipeline` is a English model originally trained by wooseok0303.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wooseok0303_pipeline_en_5.5.0_3.0_1726677529454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wooseok0303_pipeline_en_5.5.0_3.0_1726677529454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_wooseok0303_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_wooseok0303_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_wooseok0303_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wooseok0303/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotions_alexsh9999_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotions_alexsh9999_en.md
new file mode 100644
index 00000000000000..79b2a0337dd8ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotions_alexsh9999_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotions_alexsh9999 DistilBertForSequenceClassification from alexsh9999
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotions_alexsh9999
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_alexsh9999` is a English model originally trained by alexsh9999.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_alexsh9999_en_5.5.0_3.0_1726696254606.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_alexsh9999_en_5.5.0_3.0_1726696254606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotions_alexsh9999|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/alexsh9999/distilbert-base-uncased-finetuned-emotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotions_jjwariror_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotions_jjwariror_pipeline_en.md
new file mode 100644
index 00000000000000..ce7ce5e8f7230a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotions_jjwariror_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotions_jjwariror_pipeline pipeline DistilBertForSequenceClassification from JJWariror
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotions_jjwariror_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_jjwariror_pipeline` is a English model originally trained by JJWariror.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_jjwariror_pipeline_en_5.5.0_3.0_1726695915224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_jjwariror_pipeline_en_5.5.0_3.0_1726695915224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotions_jjwariror_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotions_jjwariror_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotions_jjwariror_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JJWariror/distilbert-base-uncased-finetuned-emotions
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_en.md
new file mode 100644
index 00000000000000..54b0458fd1cc2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4 DistilBertForSequenceClassification from kghanlon
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4` is a English model originally trained by kghanlon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_en_5.5.0_3.0_1726630172674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_en_5.5.0_3.0_1726630172674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kghanlon/distilbert-base-uncased-finetuned-MP-unannotated-half-frozen-v1-RILE-v1_frozen_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_alexcoliveira_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_alexcoliveira_pipeline_en.md
new file mode 100644
index 00000000000000..3f6c4c950b3426
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_alexcoliveira_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_alexcoliveira_pipeline pipeline DistilBertForQuestionAnswering from alexcoliveira
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_alexcoliveira_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_alexcoliveira_pipeline` is a English model originally trained by alexcoliveira.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_alexcoliveira_pipeline_en_5.5.0_3.0_1726640989536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_alexcoliveira_pipeline_en_5.5.0_3.0_1726640989536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_alexcoliveira_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_alexcoliveira_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_alexcoliveira_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/alexcoliveira/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_b10401015_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_b10401015_en.md
new file mode 100644
index 00000000000000..fe2dbfb9fd024c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_b10401015_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_b10401015 DistilBertForQuestionAnswering from b10401015
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_b10401015
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_b10401015` is a English model originally trained by b10401015.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_b10401015_en_5.5.0_3.0_1726644022914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_b10401015_en_5.5.0_3.0_1726644022914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_b10401015|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/b10401015/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_d5716d28_simon580803_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_d5716d28_simon580803_pipeline_en.md
new file mode 100644
index 00000000000000..1d07440b048243
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_d5716d28_simon580803_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_simon580803_pipeline pipeline DistilBertForQuestionAnswering from Simon580803
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_simon580803_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_simon580803_pipeline` is a English model originally trained by Simon580803.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_simon580803_pipeline_en_5.5.0_3.0_1726644165143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_simon580803_pipeline_en_5.5.0_3.0_1726644165143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_simon580803_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_simon580803_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_simon580803_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Simon580803/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_sanghakoh_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_sanghakoh_en.md
new file mode 100644
index 00000000000000..6a2be42a448585
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_sanghakoh_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_sanghakoh DistilBertForQuestionAnswering from sanghakoh
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_sanghakoh
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_sanghakoh` is a English model originally trained by sanghakoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sanghakoh_en_5.5.0_3.0_1726640682958.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sanghakoh_en_5.5.0_3.0_1726640682958.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_yeoni0208|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/yeoni0208/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..b1e49059018796
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp_pipeline_en_5.5.0_3.0_1726680415701.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp_pipeline_en_5.5.0_3.0_1726680415701.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st10sd_ut72ut1large10PfxNf_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en.md
new file mode 100644
index 00000000000000..51799806fc06a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en_5.5.0_3.0_1726676881539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en_5.5.0_3.0_1726676881539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st11sd_ut72ut1largePfxNf_simsp300_clean200
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1_plprefix0stlarge12_simsp400_clean300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1_plprefix0stlarge12_simsp400_clean300_pipeline_en.md
new file mode 100644
index 00000000000000..0b88fdd7bbd309
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1_plprefix0stlarge12_simsp400_clean300_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1_plprefix0stlarge12_simsp400_clean300_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1_plprefix0stlarge12_simsp400_clean300_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1_plprefix0stlarge12_simsp400_clean300_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1_plprefix0stlarge12_simsp400_clean300_pipeline_en_5.5.0_3.0_1726681569704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1_plprefix0stlarge12_simsp400_clean300_pipeline_en_5.5.0_3.0_1726681569704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1_plprefix0stlarge12_simsp400_clean300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1_plprefix0stlarge12_simsp400_clean300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1_plprefix0stlarge12_simsp400_clean300_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st12sd_ut72ut1_PLPrefix0stlarge12_simsp400_clean300
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_en.md
new file mode 100644
index 00000000000000..a084fd1ee05b73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_en_5.5.0_3.0_1726630588287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_en_5.5.0_3.0_1726630588287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st12sd_ut72ut1large12PfxNf_simsp400_clean200
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean200_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean200_en.md
new file mode 100644
index 00000000000000..d6e060bb14e069
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean200_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean200 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean200
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean200` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean200_en_5.5.0_3.0_1726695383463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean200_en_5.5.0_3.0_1726695383463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean200|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st12sd_ut72ut1largePfxNf_simsp300_clean200
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st18sd_ut52ut1_plprefix0stlarge_simsp100_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st18sd_ut52ut1_plprefix0stlarge_simsp100_en.md
new file mode 100644
index 00000000000000..848b0e3bd6c8d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st18sd_ut52ut1_plprefix0stlarge_simsp100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st18sd_ut52ut1_plprefix0stlarge_simsp100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st18sd_ut52ut1_plprefix0stlarge_simsp100
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st18sd_ut52ut1_plprefix0stlarge_simsp100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st18sd_ut52ut1_plprefix0stlarge_simsp100_en_5.5.0_3.0_1726681714925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st18sd_ut52ut1_plprefix0stlarge_simsp100_en_5.5.0_3.0_1726681714925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st18sd_ut52ut1_plprefix0stlarge_simsp100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st18sd_ut52ut1_PLPrefix0stlarge_simsp100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_pipeline_en.md
new file mode 100644
index 00000000000000..04f394c152b02a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_pipeline_en_5.5.0_3.0_1726681937502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_pipeline_en_5.5.0_3.0_1726681937502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st1sd_ut12ut1_PLPrefix0stlarge_simsp100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_en.md
new file mode 100644
index 00000000000000..d5f9269a5c16ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_en_5.5.0_3.0_1726669965533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_en_5.5.0_3.0_1726669965533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st23sd_ut72ut1_PLPrefix0stlarge23_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1_plprefix0stlarge6_simsp400_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1_plprefix0stlarge6_simsp400_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..bb3b3ee6adcd5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1_plprefix0stlarge6_simsp400_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1_plprefix0stlarge6_simsp400_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1_plprefix0stlarge6_simsp400_clean100_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1_plprefix0stlarge6_simsp400_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1_plprefix0stlarge6_simsp400_clean100_pipeline_en_5.5.0_3.0_1726682121731.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1_plprefix0stlarge6_simsp400_clean100_pipeline_en_5.5.0_3.0_1726682121731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1_plprefix0stlarge6_simsp400_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1_plprefix0stlarge6_simsp400_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1_plprefix0stlarge6_simsp400_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st6sd_ut72ut1_PLPrefix0stlarge6_simsp400_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_en.md
new file mode 100644
index 00000000000000..91bb625a1251ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_en_5.5.0_3.0_1726696530327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_en_5.5.0_3.0_1726696530327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_0st_ut102ut1_plainValPrefixLora_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_en.md
new file mode 100644
index 00000000000000..4edf6e549993fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_en_5.5.0_3.0_1726680729150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_en_5.5.0_3.0_1726680729150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_0st_ut52ut5_plainValPrefixLora_simsp_clean
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_pipeline_en.md
new file mode 100644
index 00000000000000..29b569807d226b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_pipeline_en_5.5.0_3.0_1726680742921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_pipeline_en_5.5.0_3.0_1726680742921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_0st_ut52ut5_plainvalprefixlora_simsp_clean_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_0st_ut52ut5_plainValPrefixLora_simsp_clean
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_pipeline_en.md
new file mode 100644
index 00000000000000..8e8c01193deff4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_pipeline_en_5.5.0_3.0_1726680644281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_pipeline_en_5.5.0_3.0_1726680644281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_work_zphr_0st_ut102ut10_plain_simsp_clean
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..9b736aafd7fd1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_pipeline_en_5.5.0_3.0_1726677505947.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_pipeline_en_5.5.0_3.0_1726677505947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_work_zphr_0st_ut52ut1_ad7_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_birads_eco_mamo_1_descartado_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_birads_eco_mamo_1_descartado_en.md
new file mode 100644
index 00000000000000..a450502ef7b9e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_birads_eco_mamo_1_descartado_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_birads_eco_mamo_1_descartado DistilBertForSequenceClassification from sara-m98
+author: John Snow Labs
+name: distilbert_birads_eco_mamo_1_descartado
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_birads_eco_mamo_1_descartado` is a English model originally trained by sara-m98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_birads_eco_mamo_1_descartado_en_5.5.0_3.0_1726676867178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_birads_eco_mamo_1_descartado_en_5.5.0_3.0_1726676867178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_birads_eco_mamo_1_descartado|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sara-m98/DISTILBERT_BIRADS_ECO_MAMO_1_DESCARTADO
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_emotions_fellowship_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_emotions_fellowship_pipeline_en.md
new file mode 100644
index 00000000000000..e86c956a802dd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_emotions_fellowship_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_emotions_fellowship_pipeline pipeline DistilBertForSequenceClassification from Valwolfor
+author: John Snow Labs
+name: distilbert_emotions_fellowship_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotions_fellowship_pipeline` is a English model originally trained by Valwolfor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotions_fellowship_pipeline_en_5.5.0_3.0_1726670168105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotions_fellowship_pipeline_en_5.5.0_3.0_1726670168105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_emotions_fellowship_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_emotions_fellowship_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotions_fellowship_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Valwolfor/distilbert_emotions_fellowship
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_foundation_category_c6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_foundation_category_c6_pipeline_en.md
new file mode 100644
index 00000000000000..c80d557ff25423
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_foundation_category_c6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_foundation_category_c6_pipeline pipeline DistilBertForSequenceClassification from eric-mc2
+author: John Snow Labs
+name: distilbert_foundation_category_c6_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_foundation_category_c6_pipeline` is a English model originally trained by eric-mc2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_foundation_category_c6_pipeline_en_5.5.0_3.0_1726695919480.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_foundation_category_c6_pipeline_en_5.5.0_3.0_1726695919480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_foundation_category_c6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_foundation_category_c6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_foundation_category_c6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/eric-mc2/distilbert-foundation-category-c6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_revenuefromcontractwithcustomerexcludingassessedtax_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_revenuefromcontractwithcustomerexcludingassessedtax_en.md
new file mode 100644
index 00000000000000..5a36edf1101f7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_revenuefromcontractwithcustomerexcludingassessedtax_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_revenuefromcontractwithcustomerexcludingassessedtax DistilBertForSequenceClassification from lenguyen
+author: John Snow Labs
+name: distilbert_revenuefromcontractwithcustomerexcludingassessedtax
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_revenuefromcontractwithcustomerexcludingassessedtax` is a English model originally trained by lenguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_revenuefromcontractwithcustomerexcludingassessedtax_en_5.5.0_3.0_1726677098763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_revenuefromcontractwithcustomerexcludingassessedtax_en_5.5.0_3.0_1726677098763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_revenuefromcontractwithcustomerexcludingassessedtax|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.0 MB|
+
+## References
+
+https://huggingface.co/lenguyen/distilbert_RevenueFromContractWithCustomerExcludingAssessedTax
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline_en.md
new file mode 100644
index 00000000000000..8e2e5d8e68c83d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline pipeline DistilBertForSequenceClassification from lenguyen
+author: John Snow Labs
+name: distilbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline` is a English model originally trained by lenguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline_en_5.5.0_3.0_1726677119205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline_en_5.5.0_3.0_1726677119205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.0 MB|
+
+## References
+
+https://huggingface.co/lenguyen/distilbert_RevenueFromContractWithCustomerExcludingAssessedTax
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_en.md
new file mode 100644
index 00000000000000..a1cd3f6a734469
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_en_5.5.0_3.0_1726677575445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_en_5.5.0_3.0_1726677575445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|52.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_rte_192
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_en.md
new file mode 100644
index 00000000000000..4604b4e221fe68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_en_5.5.0_3.0_1726696211053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_en_5.5.0_3.0_1726696211053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|71.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_sst2_256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_pipeline_en.md
new file mode 100644
index 00000000000000..4855a2cce7e3cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_pipeline_en_5.5.0_3.0_1726696214908.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_pipeline_en_5.5.0_3.0_1726696214908.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_sst2_256_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|71.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_sst2_256
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_192_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_192_en.md
new file mode 100644
index 00000000000000..aedf665a39fa42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_192_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_192 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_192
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_192` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_192_en_5.5.0_3.0_1726680209537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_192_en_5.5.0_3.0_1726680209537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_192|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|52.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_stsb_192
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_scam_classification_fine_tuned_elder_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_scam_classification_fine_tuned_elder_en.md
new file mode 100644
index 00000000000000..e25bb880a3a07a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_scam_classification_fine_tuned_elder_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_scam_classification_fine_tuned_elder DistilBertForSequenceClassification from autobio
+author: John Snow Labs
+name: distilbert_scam_classification_fine_tuned_elder
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_scam_classification_fine_tuned_elder` is a English model originally trained by autobio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_scam_classification_fine_tuned_elder_en_5.5.0_3.0_1726625616111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_scam_classification_fine_tuned_elder_en_5.5.0_3.0_1726625616111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_scam_classification_fine_tuned_elder|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/autobio/distilbert-scam-classification-fine-tuned-elder
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_twitterfin_padding40model_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_twitterfin_padding40model_en.md
new file mode 100644
index 00000000000000..979e60649fd214
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_twitterfin_padding40model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_twitterfin_padding40model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_twitterfin_padding40model
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_twitterfin_padding40model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_twitterfin_padding40model_en_5.5.0_3.0_1726681861096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_twitterfin_padding40model_en_5.5.0_3.0_1726681861096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_twitterfin_padding40model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_twitterfin_padding40model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_twitterfin_padding40model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_twitterfin_padding40model_pipeline_en.md
new file mode 100644
index 00000000000000..18b29ff8cb8118
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_twitterfin_padding40model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_twitterfin_padding40model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_twitterfin_padding40model_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_twitterfin_padding40model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_twitterfin_padding40model_pipeline_en_5.5.0_3.0_1726681873585.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_twitterfin_padding40model_pipeline_en_5.5.0_3.0_1726681873585.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_twitterfin_padding40model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_twitterfin_padding40model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_twitterfin_padding40model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_twitterfin_padding40model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_yes_norwegian_other_intent_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_yes_norwegian_other_intent_en.md
new file mode 100644
index 00000000000000..ddf9d4e6d24ec7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_yes_norwegian_other_intent_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_yes_norwegian_other_intent DistilBertForSequenceClassification from voicexpai
+author: John Snow Labs
+name: distilbert_yes_norwegian_other_intent
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_yes_norwegian_other_intent` is a English model originally trained by voicexpai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_yes_norwegian_other_intent_en_5.5.0_3.0_1726677378996.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_yes_norwegian_other_intent_en_5.5.0_3.0_1726677378996.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_yes_norwegian_other_intent|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/voicexpai/distilbert_Yes_No_Other_Intent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilkobert_ep4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilkobert_ep4_pipeline_en.md
new file mode 100644
index 00000000000000..2573c0199f999f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilkobert_ep4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilkobert_ep4_pipeline pipeline DistilBertForSequenceClassification from yeye776
+author: John Snow Labs
+name: distilkobert_ep4_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilkobert_ep4_pipeline` is a English model originally trained by yeye776.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilkobert_ep4_pipeline_en_5.5.0_3.0_1726681682588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilkobert_ep4_pipeline_en_5.5.0_3.0_1726681682588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilkobert_ep4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilkobert_ep4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilkobert_ep4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|106.5 MB|
+
+## References
+
+https://huggingface.co/yeye776/DistilKoBERT-ep4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilroberta_pre_finetuned_cybersecurity_readmes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilroberta_pre_finetuned_cybersecurity_readmes_pipeline_en.md
new file mode 100644
index 00000000000000..ff0acca9c1a561
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilroberta_pre_finetuned_cybersecurity_readmes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_pre_finetuned_cybersecurity_readmes_pipeline pipeline RoBertaEmbeddings from Marcell322
+author: John Snow Labs
+name: distilroberta_pre_finetuned_cybersecurity_readmes_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_pre_finetuned_cybersecurity_readmes_pipeline` is a English model originally trained by Marcell322.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_pre_finetuned_cybersecurity_readmes_pipeline_en_5.5.0_3.0_1726626499200.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_pre_finetuned_cybersecurity_readmes_pipeline_en_5.5.0_3.0_1726626499200.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_pre_finetuned_cybersecurity_readmes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_pre_finetuned_cybersecurity_readmes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_pre_finetuned_cybersecurity_readmes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.4 MB|
+
+## References
+
+https://huggingface.co/Marcell322/distilroberta-pre-finetuned-cybersecurity_READMEs
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-divya_resume_model_en.md b/docs/_posts/ahmedlone127/2024-09-18-divya_resume_model_en.md
new file mode 100644
index 00000000000000..ecbeb430544baa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-divya_resume_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English divya_resume_model DistilBertForSequenceClassification from Divyaamith
+author: John Snow Labs
+name: divya_resume_model
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`divya_resume_model` is a English model originally trained by Divyaamith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/divya_resume_model_en_5.5.0_3.0_1726676863384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/divya_resume_model_en_5.5.0_3.0_1726676863384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|divya_resume_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Divyaamith/divya_resume_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-dlproject_distilbert_epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-dlproject_distilbert_epochs_pipeline_en.md
new file mode 100644
index 00000000000000..e3de637cbaf7a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-dlproject_distilbert_epochs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dlproject_distilbert_epochs_pipeline pipeline DistilBertForSequenceClassification from youlun77
+author: John Snow Labs
+name: dlproject_distilbert_epochs_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dlproject_distilbert_epochs_pipeline` is a English model originally trained by youlun77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dlproject_distilbert_epochs_pipeline_en_5.5.0_3.0_1726680528463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dlproject_distilbert_epochs_pipeline_en_5.5.0_3.0_1726680528463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dlproject_distilbert_epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dlproject_distilbert_epochs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dlproject_distilbert_epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/youlun77/DLproject-distilbert-epochs
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-dopamin_python_developmentnotes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-dopamin_python_developmentnotes_pipeline_en.md
new file mode 100644
index 00000000000000..ad938450bd4567
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-dopamin_python_developmentnotes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dopamin_python_developmentnotes_pipeline pipeline RoBertaForSequenceClassification from Fsoft-AIC
+author: John Snow Labs
+name: dopamin_python_developmentnotes_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dopamin_python_developmentnotes_pipeline` is a English model originally trained by Fsoft-AIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dopamin_python_developmentnotes_pipeline_en_5.5.0_3.0_1726690322128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dopamin_python_developmentnotes_pipeline_en_5.5.0_3.0_1726690322128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dopamin_python_developmentnotes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dopamin_python_developmentnotes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dopamin_python_developmentnotes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/Fsoft-AIC/dopamin-python-developmentnotes
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-dynasent_roberta_text_disagreement_binary_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-dynasent_roberta_text_disagreement_binary_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..68e2a369716036
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-dynasent_roberta_text_disagreement_binary_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dynasent_roberta_text_disagreement_binary_classifier_pipeline pipeline RoBertaForSequenceClassification from RuyuanWan
+author: John Snow Labs
+name: dynasent_roberta_text_disagreement_binary_classifier_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dynasent_roberta_text_disagreement_binary_classifier_pipeline` is a English model originally trained by RuyuanWan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dynasent_roberta_text_disagreement_binary_classifier_pipeline_en_5.5.0_3.0_1726666253296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dynasent_roberta_text_disagreement_binary_classifier_pipeline_en_5.5.0_3.0_1726666253296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dynasent_roberta_text_disagreement_binary_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dynasent_roberta_text_disagreement_binary_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dynasent_roberta_text_disagreement_binary_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|447.7 MB|
+
+## References
+
+https://huggingface.co/RuyuanWan/Dynasent_RoBERTa_Text_Disagreement_Binary_Classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-eemm_dimensions_12012024_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-eemm_dimensions_12012024_pipeline_en.md
new file mode 100644
index 00000000000000..d5e4d261fcd260
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-eemm_dimensions_12012024_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English eemm_dimensions_12012024_pipeline pipeline DistilBertForSequenceClassification from chernandezc
+author: John Snow Labs
+name: eemm_dimensions_12012024_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`eemm_dimensions_12012024_pipeline` is a English model originally trained by chernandezc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/eemm_dimensions_12012024_pipeline_en_5.5.0_3.0_1726625469444.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/eemm_dimensions_12012024_pipeline_en_5.5.0_3.0_1726625469444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("eemm_dimensions_12012024_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("eemm_dimensions_12012024_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eemm_dimensions_12012024_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chernandezc/EEMM_Dimensions_12012024
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-elicitsbackgroundknowledge_a6000_0_00001_en.md b/docs/_posts/ahmedlone127/2024-09-18-elicitsbackgroundknowledge_a6000_0_00001_en.md
new file mode 100644
index 00000000000000..1e8061fd37b33b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-elicitsbackgroundknowledge_a6000_0_00001_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English elicitsbackgroundknowledge_a6000_0_00001 RoBertaForSequenceClassification from rose-e-wang
+author: John Snow Labs
+name: elicitsbackgroundknowledge_a6000_0_00001
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`elicitsbackgroundknowledge_a6000_0_00001` is a English model originally trained by rose-e-wang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/elicitsbackgroundknowledge_a6000_0_00001_en_5.5.0_3.0_1726627571136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/elicitsbackgroundknowledge_a6000_0_00001_en_5.5.0_3.0_1726627571136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|elicitsbackgroundknowledge_a6000_0_00001|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/rose-e-wang/elicitsBackgroundKnowledge_a6000_0.00001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-englishessay_scoring_lm_en.md b/docs/_posts/ahmedlone127/2024-09-18-englishessay_scoring_lm_en.md
new file mode 100644
index 00000000000000..21ef138b254738
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-englishessay_scoring_lm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English englishessay_scoring_lm RoBertaForSequenceClassification from rong4ivy
+author: John Snow Labs
+name: englishessay_scoring_lm
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`englishessay_scoring_lm` is a English model originally trained by rong4ivy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/englishessay_scoring_lm_en_5.5.0_3.0_1726627464164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/englishessay_scoring_lm_en_5.5.0_3.0_1726627464164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|englishessay_scoring_lm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/rong4ivy/EnglishEssay_Scoring_LM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-fake_news_detect_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-fake_news_detect_pipeline_en.md
new file mode 100644
index 00000000000000..4ed62a74f1b325
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-fake_news_detect_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fake_news_detect_pipeline pipeline DistilBertForSequenceClassification from Hemg
+author: John Snow Labs
+name: fake_news_detect_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_detect_pipeline` is a English model originally trained by Hemg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_detect_pipeline_en_5.5.0_3.0_1726677002380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_detect_pipeline_en_5.5.0_3.0_1726677002380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fake_news_detect_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fake_news_detect_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_detect_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Hemg/fake-news-detect
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-film95000roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-18-film95000roberta_base_en.md
new file mode 100644
index 00000000000000..7a09b5a22ec0da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-film95000roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English film95000roberta_base RoBertaEmbeddings from AmaiaSolaun
+author: John Snow Labs
+name: film95000roberta_base
+date: 2024-09-18
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`film95000roberta_base` is a English model originally trained by AmaiaSolaun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/film95000roberta_base_en_5.5.0_3.0_1726651612568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/film95000roberta_base_en_5.5.0_3.0_1726651612568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|film95000roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/AmaiaSolaun/film95000roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-final_ft__roberta_base_bne__70k_ultrasounds_ner_en.md b/docs/_posts/ahmedlone127/2024-09-18-final_ft__roberta_base_bne__70k_ultrasounds_ner_en.md
new file mode 100644
index 00000000000000..46a6be31b48549
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-final_ft__roberta_base_bne__70k_ultrasounds_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English final_ft__roberta_base_bne__70k_ultrasounds_ner RoBertaForTokenClassification from manucos
+author: John Snow Labs
+name: final_ft__roberta_base_bne__70k_ultrasounds_ner
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`final_ft__roberta_base_bne__70k_ultrasounds_ner` is a English model originally trained by manucos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_ft__roberta_base_bne__70k_ultrasounds_ner_en_5.5.0_3.0_1726652666768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_ft__roberta_base_bne__70k_ultrasounds_ner_en_5.5.0_3.0_1726652666768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned__roberta_base_biomedical_clinical_spanish__augmented_ultrasounds|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|469.4 MB|
+
+## References
+
+https://huggingface.co/manucos/finetuned__roberta-base-biomedical-clinical-es__augmented-ultrasounds
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_bert_model_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_bert_model_en.md
new file mode 100644
index 00000000000000..6b8ba592d3f145
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_bert_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_bert_model DistilBertForSequenceClassification from hphuocthanh
+author: John Snow Labs
+name: finetuning_sentiment_bert_model
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_bert_model` is a English model originally trained by hphuocthanh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_bert_model_en_5.5.0_3.0_1726677190680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_bert_model_en_5.5.0_3.0_1726677190680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_bert_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hphuocthanh/finetuning-sentiment-bert-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model2_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model2_0_pipeline_en.md
new file mode 100644
index 00000000000000..985a8eb10cca5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model2_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model2_0_pipeline pipeline RoBertaForSequenceClassification from maegancp
+author: John Snow Labs
+name: finetuning_sentiment_model2_0_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model2_0_pipeline` is a English model originally trained by maegancp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model2_0_pipeline_en_5.5.0_3.0_1726622008942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model2_0_pipeline_en_5.5.0_3.0_1726622008942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model2_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model2_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model2_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/maegancp/finetuning-sentiment-model2.0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_a00954334_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_a00954334_en.md
new file mode 100644
index 00000000000000..b2a6fb397eab6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_a00954334_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_a00954334 DistilBertForSequenceClassification from A00954334
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_a00954334
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_a00954334` is a English model originally trained by A00954334.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_a00954334_en_5.5.0_3.0_1726625920998.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_a00954334_en_5.5.0_3.0_1726625920998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_a00954334|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/A00954334/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_aguinrodriguezj_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_aguinrodriguezj_pipeline_en.md
new file mode 100644
index 00000000000000..7a67570cd4ffe6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_aguinrodriguezj_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_aguinrodriguezj_pipeline pipeline DistilBertForSequenceClassification from aguinrodriguezj
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_aguinrodriguezj_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_aguinrodriguezj_pipeline` is a English model originally trained by aguinrodriguezj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aguinrodriguezj_pipeline_en_5.5.0_3.0_1726696558483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aguinrodriguezj_pipeline_en_5.5.0_3.0_1726696558483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_aguinrodriguezj_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_aguinrodriguezj_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_aguinrodriguezj_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aguinrodriguezj/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_lani_0d_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_lani_0d_pipeline_en.md
new file mode 100644
index 00000000000000..8ba7be96b85bad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_lani_0d_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_lani_0d_pipeline pipeline DistilBertForSequenceClassification from Lani-0D
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_lani_0d_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_lani_0d_pipeline` is a English model originally trained by Lani-0D.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lani_0d_pipeline_en_5.5.0_3.0_1726695443218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lani_0d_pipeline_en_5.5.0_3.0_1726695443218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_lani_0d_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_lani_0d_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_lani_0d_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Lani-0D/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_mo27harakani_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_mo27harakani_en.md
new file mode 100644
index 00000000000000..e6f5697d29f34b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_mo27harakani_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_mo27harakani DistilBertForSequenceClassification from mo27harakani
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_mo27harakani
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mo27harakani` is a English model originally trained by mo27harakani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mo27harakani_en_5.5.0_3.0_1726677182025.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mo27harakani_en_5.5.0_3.0_1726677182025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_mo27harakani|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mo27harakani/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_r219_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_r219_en.md
new file mode 100644
index 00000000000000..75b47806a5fd0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_r219_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_r219 DistilBertForSequenceClassification from R219
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_r219
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_r219` is a English model originally trained by R219.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_r219_en_5.5.0_3.0_1726669524345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_r219_en_5.5.0_3.0_1726669524345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_r219|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/R219/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_sardoo8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_sardoo8_pipeline_en.md
new file mode 100644
index 00000000000000..d59b796ac39d38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_sardoo8_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_sardoo8_pipeline pipeline DistilBertForSequenceClassification from sardoo8
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_sardoo8_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sardoo8_pipeline` is a English model originally trained by sardoo8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sardoo8_pipeline_en_5.5.0_3.0_1726681385650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sardoo8_pipeline_en_5.5.0_3.0_1726681385650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_sardoo8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_sardoo8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_sardoo8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sardoo8/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_40000_samples_freedino_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_40000_samples_freedino_pipeline_en.md
new file mode 100644
index 00000000000000..476b797e52dc83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_40000_samples_freedino_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_40000_samples_freedino_pipeline pipeline DistilBertForSequenceClassification from Freedino
+author: John Snow Labs
+name: finetuning_sentiment_model_40000_samples_freedino_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_40000_samples_freedino_pipeline` is a English model originally trained by Freedino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_40000_samples_freedino_pipeline_en_5.5.0_3.0_1726695443636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_40000_samples_freedino_pipeline_en_5.5.0_3.0_1726695443636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_40000_samples_freedino_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_40000_samples_freedino_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_40000_samples_freedino_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Freedino/finetuning-sentiment-model-40000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_threadsapp_3000_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_threadsapp_3000_en.md
new file mode 100644
index 00000000000000..dd5e4278b2ed19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_threadsapp_3000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_threadsapp_3000 DistilBertForSequenceClassification from sivaranjanisundarraj
+author: John Snow Labs
+name: finetuning_sentiment_model_threadsapp_3000
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_threadsapp_3000` is a English model originally trained by sivaranjanisundarraj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_threadsapp_3000_en_5.5.0_3.0_1726669284911.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_threadsapp_3000_en_5.5.0_3.0_1726669284911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_threadsapp_3000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sivaranjanisundarraj/finetuning-sentiment-model-threadsapp-3000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-furina_seed42_eng_basic_5e_06_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-furina_seed42_eng_basic_5e_06_pipeline_en.md
new file mode 100644
index 00000000000000..e9ee29720f7234
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-furina_seed42_eng_basic_5e_06_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English furina_seed42_eng_basic_5e_06_pipeline pipeline XlmRoBertaForSequenceClassification from Shijia
+author: John Snow Labs
+name: furina_seed42_eng_basic_5e_06_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`furina_seed42_eng_basic_5e_06_pipeline` is a English model originally trained by Shijia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_basic_5e_06_pipeline_en_5.5.0_3.0_1726685667698.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_basic_5e_06_pipeline_en_5.5.0_3.0_1726685667698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("furina_seed42_eng_basic_5e_06_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("furina_seed42_eng_basic_5e_06_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|furina_seed42_eng_basic_5e_06_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/Shijia/furina_seed42_eng_basic_5e-06
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-gal_sayula_popoluca_xlmr_4_en.md b/docs/_posts/ahmedlone127/2024-09-18-gal_sayula_popoluca_xlmr_4_en.md
new file mode 100644
index 00000000000000..2739dec8251982
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-gal_sayula_popoluca_xlmr_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English gal_sayula_popoluca_xlmr_4 XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: gal_sayula_popoluca_xlmr_4
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gal_sayula_popoluca_xlmr_4` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gal_sayula_popoluca_xlmr_4_en_5.5.0_3.0_1726657296414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gal_sayula_popoluca_xlmr_4_en_5.5.0_3.0_1726657296414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gal_sayula_popoluca_xlmr_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|803.4 MB|
+
+## References
+
+https://huggingface.co/homersimpson/gal-pos-xlmr-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-georgian_homonym_disambiguation_tc_pipeline_ka.md b/docs/_posts/ahmedlone127/2024-09-18-georgian_homonym_disambiguation_tc_pipeline_ka.md
new file mode 100644
index 00000000000000..09626137b67300
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-georgian_homonym_disambiguation_tc_pipeline_ka.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Georgian georgian_homonym_disambiguation_tc_pipeline pipeline DistilBertForSequenceClassification from davmel
+author: John Snow Labs
+name: georgian_homonym_disambiguation_tc_pipeline
+date: 2024-09-18
+tags: [ka, open_source, pipeline, onnx]
+task: Text Classification
+language: ka
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`georgian_homonym_disambiguation_tc_pipeline` is a Georgian model originally trained by davmel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/georgian_homonym_disambiguation_tc_pipeline_ka_5.5.0_3.0_1726669766964.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/georgian_homonym_disambiguation_tc_pipeline_ka_5.5.0_3.0_1726669766964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("georgian_homonym_disambiguation_tc_pipeline", lang = "ka")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("georgian_homonym_disambiguation_tc_pipeline", lang = "ka")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|georgian_homonym_disambiguation_tc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ka|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/davmel/ka_homonym_disambiguation_TC
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-gossipcop_roberta_clf_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-gossipcop_roberta_clf_pipeline_en.md
new file mode 100644
index 00000000000000..56c6428593989b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-gossipcop_roberta_clf_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gossipcop_roberta_clf_pipeline pipeline RoBertaForSequenceClassification from ChandlerU11
+author: John Snow Labs
+name: gossipcop_roberta_clf_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gossipcop_roberta_clf_pipeline` is a English model originally trained by ChandlerU11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gossipcop_roberta_clf_pipeline_en_5.5.0_3.0_1726622308108.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gossipcop_roberta_clf_pipeline_en_5.5.0_3.0_1726622308108.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gossipcop_roberta_clf_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gossipcop_roberta_clf_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gossipcop_roberta_clf_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|448.6 MB|
+
+## References
+
+https://huggingface.co/ChandlerU11/gossipcop_rOBERTa_CLF
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-halacha_siman_seif_classifier_nepal_bhasa_en.md b/docs/_posts/ahmedlone127/2024-09-18-halacha_siman_seif_classifier_nepal_bhasa_en.md
new file mode 100644
index 00000000000000..7265b680c12df1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-halacha_siman_seif_classifier_nepal_bhasa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English halacha_siman_seif_classifier_nepal_bhasa BertForSequenceClassification from sivan22
+author: John Snow Labs
+name: halacha_siman_seif_classifier_nepal_bhasa
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`halacha_siman_seif_classifier_nepal_bhasa` is a English model originally trained by sivan22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/halacha_siman_seif_classifier_nepal_bhasa_en_5.5.0_3.0_1726624127739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/halacha_siman_seif_classifier_nepal_bhasa_en_5.5.0_3.0_1726624127739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|halacha_siman_seif_classifier_nepal_bhasa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|704.2 MB|
+
+## References
+
+https://huggingface.co/sivan22/halacha-siman-seif-classifier-new
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-hate_hate_random3_seed0_twitter_roberta_base_2019_90m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-hate_hate_random3_seed0_twitter_roberta_base_2019_90m_pipeline_en.md
new file mode 100644
index 00000000000000..2693b3e6e13b37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-hate_hate_random3_seed0_twitter_roberta_base_2019_90m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_random3_seed0_twitter_roberta_base_2019_90m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random3_seed0_twitter_roberta_base_2019_90m_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random3_seed0_twitter_roberta_base_2019_90m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random3_seed0_twitter_roberta_base_2019_90m_pipeline_en_5.5.0_3.0_1726649680449.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random3_seed0_twitter_roberta_base_2019_90m_pipeline_en_5.5.0_3.0_1726649680449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_hate_random3_seed0_twitter_roberta_base_2019_90m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_random3_seed0_twitter_roberta_base_2019_90m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random3_seed0_twitter_roberta_base_2019_90m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random3_seed0-twitter-roberta-base-2019-90m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-helper2_en.md b/docs/_posts/ahmedlone127/2024-09-18-helper2_en.md
new file mode 100644
index 00000000000000..dfe3c8237e165b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-helper2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English helper2 RoBertaForSequenceClassification from raima2001
+author: John Snow Labs
+name: helper2
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helper2` is a English model originally trained by raima2001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helper2_en_5.5.0_3.0_1726650125781.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helper2_en_5.5.0_3.0_1726650125781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helper2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|85.0 MB|
+
+## References
+
+https://huggingface.co/raima2001/helper2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-hf_repo_miteshkotak7_en.md b/docs/_posts/ahmedlone127/2024-09-18-hf_repo_miteshkotak7_en.md
new file mode 100644
index 00000000000000..0e3eb0ebe8dfcf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-hf_repo_miteshkotak7_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hf_repo_miteshkotak7 DistilBertForSequenceClassification from miteshkotak7
+author: John Snow Labs
+name: hf_repo_miteshkotak7
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hf_repo_miteshkotak7` is a English model originally trained by miteshkotak7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hf_repo_miteshkotak7_en_5.5.0_3.0_1726681686064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hf_repo_miteshkotak7_en_5.5.0_3.0_1726681686064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hf_repo_miteshkotak7|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/miteshkotak7/hf-repo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-hindi_wordpiece_bert_test_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-hindi_wordpiece_bert_test_large_pipeline_en.md
new file mode 100644
index 00000000000000..13394cbc4d3d68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-hindi_wordpiece_bert_test_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hindi_wordpiece_bert_test_large_pipeline pipeline BertEmbeddings from rg1683
+author: John Snow Labs
+name: hindi_wordpiece_bert_test_large_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hindi_wordpiece_bert_test_large_pipeline` is a English model originally trained by rg1683.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_wordpiece_bert_test_large_pipeline_en_5.5.0_3.0_1726692677364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_wordpiece_bert_test_large_pipeline_en_5.5.0_3.0_1726692677364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hindi_wordpiece_bert_test_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hindi_wordpiece_bert_test_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_wordpiece_bert_test_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|377.7 MB|
+
+## References
+
+https://huggingface.co/rg1683/hindi_wordpiece_bert_test_large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-horai_medium_17k_roberta_large_30_en.md b/docs/_posts/ahmedlone127/2024-09-18-horai_medium_17k_roberta_large_30_en.md
new file mode 100644
index 00000000000000..788d4accc4e199
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-horai_medium_17k_roberta_large_30_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English horai_medium_17k_roberta_large_30 RoBertaForSequenceClassification from stealthwriter
+author: John Snow Labs
+name: horai_medium_17k_roberta_large_30
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`horai_medium_17k_roberta_large_30` is a English model originally trained by stealthwriter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/horai_medium_17k_roberta_large_30_en_5.5.0_3.0_1726650504965.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/horai_medium_17k_roberta_large_30_en_5.5.0_3.0_1726650504965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|horai_medium_17k_roberta_large_30|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/stealthwriter/HorAI-medium-17k-roberta-large-30
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-imdb_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-18-imdb_sentiment_en.md
new file mode 100644
index 00000000000000..9963bb73bd7776
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-imdb_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdb_sentiment DistilBertForSequenceClassification from approximatelylinear
+author: John Snow Labs
+name: imdb_sentiment
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_sentiment` is a English model originally trained by approximatelylinear.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_sentiment_en_5.5.0_3.0_1726682059628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_sentiment_en_5.5.0_3.0_1726682059628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/approximatelylinear/imdb_sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-imdb_sentiment_model_en.md b/docs/_posts/ahmedlone127/2024-09-18-imdb_sentiment_model_en.md
new file mode 100644
index 00000000000000..0ec6878837ac22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-imdb_sentiment_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdb_sentiment_model DistilBertForSequenceClassification from hegazyma
+author: John Snow Labs
+name: imdb_sentiment_model
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_sentiment_model` is a English model originally trained by hegazyma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_sentiment_model_en_5.5.0_3.0_1726696373381.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_sentiment_model_en_5.5.0_3.0_1726696373381.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_sentiment_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hegazyma/imdb_sentiment_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-imdb_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-imdb_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..c2fdb96a54d30f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-imdb_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English imdb_sentiment_pipeline pipeline DistilBertForSequenceClassification from approximatelylinear
+author: John Snow Labs
+name: imdb_sentiment_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_sentiment_pipeline` is a English model originally trained by approximatelylinear.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_sentiment_pipeline_en_5.5.0_3.0_1726682072082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_sentiment_pipeline_en_5.5.0_3.0_1726682072082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdb_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdb_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/approximatelylinear/imdb_sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-inisw08_robert_mlm_lion_8bit_en.md b/docs/_posts/ahmedlone127/2024-09-18-inisw08_robert_mlm_lion_8bit_en.md
new file mode 100644
index 00000000000000..8605377f873d17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-inisw08_robert_mlm_lion_8bit_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English inisw08_robert_mlm_lion_8bit RoBertaEmbeddings from ugiugi
+author: John Snow Labs
+name: inisw08_robert_mlm_lion_8bit
+date: 2024-09-18
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`inisw08_robert_mlm_lion_8bit` is a English model originally trained by ugiugi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inisw08_robert_mlm_lion_8bit_en_5.5.0_3.0_1726617874520.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inisw08_robert_mlm_lion_8bit_en_5.5.0_3.0_1726617874520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inisw08_robert_mlm_lion_8bit|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|461.2 MB|
+
+## References
+
+https://huggingface.co/ugiugi/inisw08-RoBERT-mlm-lion_8bit
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-it2_robertuito_l_en.md b/docs/_posts/ahmedlone127/2024-09-18-it2_robertuito_l_en.md
new file mode 100644
index 00000000000000..c9ff82b2c03482
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-it2_robertuito_l_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English it2_robertuito_l RoBertaForSequenceClassification from PEzquerra
+author: John Snow Labs
+name: it2_robertuito_l
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`it2_robertuito_l` is a English model originally trained by PEzquerra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/it2_robertuito_l_en_5.5.0_3.0_1726650392571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/it2_robertuito_l_en_5.5.0_3.0_1726650392571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lao_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|lo|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/w11wo/lao-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-mitre_tactic_bert_case_based_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-mitre_tactic_bert_case_based_pipeline_en.md
new file mode 100644
index 00000000000000..b488258c2ed61c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-mitre_tactic_bert_case_based_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mitre_tactic_bert_case_based_pipeline pipeline BertForSequenceClassification from sarahwei
+author: John Snow Labs
+name: mitre_tactic_bert_case_based_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mitre_tactic_bert_case_based_pipeline` is a English model originally trained by sarahwei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mitre_tactic_bert_case_based_pipeline_en_5.5.0_3.0_1726647528972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mitre_tactic_bert_case_based_pipeline_en_5.5.0_3.0_1726647528972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mitre_tactic_bert_case_based_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mitre_tactic_bert_case_based_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mitre_tactic_bert_case_based_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/sarahwei/MITRE-tactic-bert-case-based
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-models_roberta_1716096876_881274_en.md b/docs/_posts/ahmedlone127/2024-09-18-models_roberta_1716096876_881274_en.md
new file mode 100644
index 00000000000000..e35225c1ae62d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-models_roberta_1716096876_881274_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English models_roberta_1716096876_881274 RoBertaForSequenceClassification from Edgar-00
+author: John Snow Labs
+name: models_roberta_1716096876_881274
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`models_roberta_1716096876_881274` is a English model originally trained by Edgar-00.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/models_roberta_1716096876_881274_en_5.5.0_3.0_1726650027463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/models_roberta_1716096876_881274_en_5.5.0_3.0_1726650027463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|models_roberta_1716096876_881274|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|457.8 MB|
+
+## References
+
+https://huggingface.co/Edgar-00/Models-RoBERTa-1716096876.881274
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-models_vantaa32_en.md b/docs/_posts/ahmedlone127/2024-09-18-models_vantaa32_en.md
new file mode 100644
index 00000000000000..518c7e7d38be44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-models_vantaa32_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English models_vantaa32 DistilBertForSequenceClassification from vantaa32
+author: John Snow Labs
+name: models_vantaa32
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`models_vantaa32` is a English model originally trained by vantaa32.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/models_vantaa32_en_5.5.0_3.0_1726625253483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/models_vantaa32_en_5.5.0_3.0_1726625253483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|models_vantaa32|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vantaa32/models
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-monoroberta_msmarco_en.md b/docs/_posts/ahmedlone127/2024-09-18-monoroberta_msmarco_en.md
new file mode 100644
index 00000000000000..e37b091b6b1980
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-monoroberta_msmarco_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English monoroberta_msmarco RoBertaForSequenceClassification from veneres
+author: John Snow Labs
+name: monoroberta_msmarco
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`monoroberta_msmarco` is a English model originally trained by veneres.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/monoroberta_msmarco_en_5.5.0_3.0_1726621744056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/monoroberta_msmarco_en_5.5.0_3.0_1726621744056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|monoroberta_msmarco|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.6 MB|
+
+## References
+
+https://huggingface.co/veneres/monoroberta-msmarco
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-movies_notice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-movies_notice_pipeline_en.md
new file mode 100644
index 00000000000000..e32afc8ade86b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-movies_notice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English movies_notice_pipeline pipeline DistilBertForSequenceClassification from hermione03
+author: John Snow Labs
+name: movies_notice_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movies_notice_pipeline` is a English model originally trained by hermione03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movies_notice_pipeline_en_5.5.0_3.0_1726695680611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movies_notice_pipeline_en_5.5.0_3.0_1726695680611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("movies_notice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("movies_notice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movies_notice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/hermione03/movies_notice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-mtwitter_roberta_base_model_reviewingcls_r3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-mtwitter_roberta_base_model_reviewingcls_r3_pipeline_en.md
new file mode 100644
index 00000000000000..e002e5b17a5ed0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-mtwitter_roberta_base_model_reviewingcls_r3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mtwitter_roberta_base_model_reviewingcls_r3_pipeline pipeline RoBertaForSequenceClassification from Yeerchiu
+author: John Snow Labs
+name: mtwitter_roberta_base_model_reviewingcls_r3_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mtwitter_roberta_base_model_reviewingcls_r3_pipeline` is a English model originally trained by Yeerchiu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mtwitter_roberta_base_model_reviewingcls_r3_pipeline_en_5.5.0_3.0_1726642176533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mtwitter_roberta_base_model_reviewingcls_r3_pipeline_en_5.5.0_3.0_1726642176533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mtwitter_roberta_base_model_reviewingcls_r3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mtwitter_roberta_base_model_reviewingcls_r3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mtwitter_roberta_base_model_reviewingcls_r3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Yeerchiu/mtwitter-roberta-base-model-reviewingcls-r3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-n_distilbert_twitterfin_padding70model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-n_distilbert_twitterfin_padding70model_pipeline_en.md
new file mode 100644
index 00000000000000..7a6ef2270c98bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-n_distilbert_twitterfin_padding70model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_distilbert_twitterfin_padding70model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_distilbert_twitterfin_padding70model_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_distilbert_twitterfin_padding70model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_distilbert_twitterfin_padding70model_pipeline_en_5.5.0_3.0_1726677329645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_distilbert_twitterfin_padding70model_pipeline_en_5.5.0_3.0_1726677329645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_distilbert_twitterfin_padding70model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_distilbert_twitterfin_padding70model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_distilbert_twitterfin_padding70model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_distilbert_twitterfin_padding70model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-nace2_level1_26_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-nace2_level1_26_pipeline_en.md
new file mode 100644
index 00000000000000..0901a5d5c59c1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-nace2_level1_26_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nace2_level1_26_pipeline pipeline RoBertaForSequenceClassification from intelcomp
+author: John Snow Labs
+name: nace2_level1_26_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nace2_level1_26_pipeline` is a English model originally trained by intelcomp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nace2_level1_26_pipeline_en_5.5.0_3.0_1726642009477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nace2_level1_26_pipeline_en_5.5.0_3.0_1726642009477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nace2_level1_26_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nace2_level1_26_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nace2_level1_26_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/intelcomp/nace2_level1_26
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-ner_ner_random2_seed0_bertweet_large_en.md b/docs/_posts/ahmedlone127/2024-09-18-ner_ner_random2_seed0_bertweet_large_en.md
new file mode 100644
index 00000000000000..35ffc3730256d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-ner_ner_random2_seed0_bertweet_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_ner_random2_seed0_bertweet_large RoBertaForTokenClassification from tweettemposhift
+author: John Snow Labs
+name: ner_ner_random2_seed0_bertweet_large
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_ner_random2_seed0_bertweet_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_ner_random2_seed0_bertweet_large_en_5.5.0_3.0_1726652668484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_ner_random2_seed0_bertweet_large_en_5.5.0_3.0_1726652668484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_ner_random2_seed0_bertweet_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/ner-ner_random2_seed0-bertweet-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-nerubios_xlm_roberta_base_training_development_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-nerubios_xlm_roberta_base_training_development_pipeline_en.md
new file mode 100644
index 00000000000000..e0d22690c92722
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-nerubios_xlm_roberta_base_training_development_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nerubios_xlm_roberta_base_training_development_pipeline pipeline XlmRoBertaForTokenClassification from ajtamayoh
+author: John Snow Labs
+name: nerubios_xlm_roberta_base_training_development_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerubios_xlm_roberta_base_training_development_pipeline` is a English model originally trained by ajtamayoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerubios_xlm_roberta_base_training_development_pipeline_en_5.5.0_3.0_1726662988285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerubios_xlm_roberta_base_training_development_pipeline_en_5.5.0_3.0_1726662988285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nerubios_xlm_roberta_base_training_development_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nerubios_xlm_roberta_base_training_development_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerubios_xlm_roberta_base_training_development_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|848.3 MB|
+
+## References
+
+https://huggingface.co/ajtamayoh/NeRUBioS_xlm_RoBERTa_base_Training_Development
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-norms_establish_lr0_00005_en.md b/docs/_posts/ahmedlone127/2024-09-18-norms_establish_lr0_00005_en.md
new file mode 100644
index 00000000000000..6c4b8ec1ab776c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-norms_establish_lr0_00005_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English norms_establish_lr0_00005 RoBertaForSequenceClassification from rose-e-wang
+author: John Snow Labs
+name: norms_establish_lr0_00005
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`norms_establish_lr0_00005` is a English model originally trained by rose-e-wang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norms_establish_lr0_00005_en_5.5.0_3.0_1726665943359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norms_establish_lr0_00005_en_5.5.0_3.0_1726665943359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norms_establish_lr0_00005|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/rose-e-wang/norms_establish_lr0.00005
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-predict_perception_xlmr_blame_object_en.md b/docs/_posts/ahmedlone127/2024-09-18-predict_perception_xlmr_blame_object_en.md
new file mode 100644
index 00000000000000..32ab4239aa82f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-predict_perception_xlmr_blame_object_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English predict_perception_xlmr_blame_object XlmRoBertaForSequenceClassification from responsibility-framing
+author: John Snow Labs
+name: predict_perception_xlmr_blame_object
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`predict_perception_xlmr_blame_object` is a English model originally trained by responsibility-framing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_blame_object_en_5.5.0_3.0_1726633634568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_blame_object_en_5.5.0_3.0_1726633634568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|predict_perception_xlmr_blame_object|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|837.6 MB|
+
+## References
+
+https://huggingface.co/responsibility-framing/predict-perception-xlmr-blame-object
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-prompt_ls_spanish_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-prompt_ls_spanish_3_pipeline_en.md
new file mode 100644
index 00000000000000..0aa9f0e3318d16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-prompt_ls_spanish_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English prompt_ls_spanish_3_pipeline pipeline RoBertaEmbeddings from lmvasque
+author: John Snow Labs
+name: prompt_ls_spanish_3_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prompt_ls_spanish_3_pipeline` is a English model originally trained by lmvasque.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prompt_ls_spanish_3_pipeline_en_5.5.0_3.0_1726678050077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prompt_ls_spanish_3_pipeline_en_5.5.0_3.0_1726678050077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("prompt_ls_spanish_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("prompt_ls_spanish_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|prompt_ls_spanish_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|462.3 MB|
+
+## References
+
+https://huggingface.co/lmvasque/prompt-ls-es-3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-prova_text_classification_en.md b/docs/_posts/ahmedlone127/2024-09-18-prova_text_classification_en.md
new file mode 100644
index 00000000000000..b18a5d3f8bfcf2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-prova_text_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English prova_text_classification DistilBertForSequenceClassification from raoulmago
+author: John Snow Labs
+name: prova_text_classification
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prova_text_classification` is a English model originally trained by raoulmago.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prova_text_classification_en_5.5.0_3.0_1726677294510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prova_text_classification_en_5.5.0_3.0_1726677294510.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|prova_text_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/raoulmago/prova_text_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-prova_text_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-prova_text_classification_pipeline_en.md
new file mode 100644
index 00000000000000..bf2a5957ee3c32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-prova_text_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English prova_text_classification_pipeline pipeline DistilBertForSequenceClassification from raoulmago
+author: John Snow Labs
+name: prova_text_classification_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prova_text_classification_pipeline` is a English model originally trained by raoulmago.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prova_text_classification_pipeline_en_5.5.0_3.0_1726677307459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prova_text_classification_pipeline_en_5.5.0_3.0_1726677307459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("prova_text_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("prova_text_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|prova_text_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/raoulmago/prova_text_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-randomly_pruned_90_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-randomly_pruned_90_model_pipeline_en.md
new file mode 100644
index 00000000000000..5b26b70601401f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-randomly_pruned_90_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English randomly_pruned_90_model_pipeline pipeline DistilBertForSequenceClassification from andygoh5
+author: John Snow Labs
+name: randomly_pruned_90_model_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`randomly_pruned_90_model_pipeline` is a English model originally trained by andygoh5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/randomly_pruned_90_model_pipeline_en_5.5.0_3.0_1726670095737.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/randomly_pruned_90_model_pipeline_en_5.5.0_3.0_1726670095737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("randomly_pruned_90_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("randomly_pruned_90_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|randomly_pruned_90_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/andygoh5/randomly-pruned-90-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-rating_prediction_model_non_aug_weighted_loss_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-rating_prediction_model_non_aug_weighted_loss_pipeline_en.md
new file mode 100644
index 00000000000000..550ab15dcbc7b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-rating_prediction_model_non_aug_weighted_loss_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English rating_prediction_model_non_aug_weighted_loss_pipeline pipeline DistilBertForSequenceClassification from bambalez
+author: John Snow Labs
+name: rating_prediction_model_non_aug_weighted_loss_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rating_prediction_model_non_aug_weighted_loss_pipeline` is a English model originally trained by bambalez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rating_prediction_model_non_aug_weighted_loss_pipeline_en_5.5.0_3.0_1726669301700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rating_prediction_model_non_aug_weighted_loss_pipeline_en_5.5.0_3.0_1726669301700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rating_prediction_model_non_aug_weighted_loss_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rating_prediction_model_non_aug_weighted_loss_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rating_prediction_model_non_aug_weighted_loss_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bambalez/rating_prediction_model_non-aug_weighted-loss
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-request_type_classifier_roberta_26_08_2024_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-request_type_classifier_roberta_26_08_2024_pipeline_en.md
new file mode 100644
index 00000000000000..dd1015e1d65403
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-request_type_classifier_roberta_26_08_2024_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English request_type_classifier_roberta_26_08_2024_pipeline pipeline RoBertaForSequenceClassification from venkynavs
+author: John Snow Labs
+name: request_type_classifier_roberta_26_08_2024_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`request_type_classifier_roberta_26_08_2024_pipeline` is a English model originally trained by venkynavs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/request_type_classifier_roberta_26_08_2024_pipeline_en_5.5.0_3.0_1726621712879.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/request_type_classifier_roberta_26_08_2024_pipeline_en_5.5.0_3.0_1726621712879.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("request_type_classifier_roberta_26_08_2024_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("request_type_classifier_roberta_26_08_2024_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|request_type_classifier_roberta_26_08_2024_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/venkynavs/Request_Type_Classifier_RoBERTa_26_08_2024
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-results_nelsonauner_en.md b/docs/_posts/ahmedlone127/2024-09-18-results_nelsonauner_en.md
new file mode 100644
index 00000000000000..4cc579dad6e1f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-results_nelsonauner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English results_nelsonauner DistilBertForSequenceClassification from nelsonauner
+author: John Snow Labs
+name: results_nelsonauner
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_nelsonauner` is a English model originally trained by nelsonauner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_nelsonauner_en_5.5.0_3.0_1726695682304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_nelsonauner_en_5.5.0_3.0_1726695682304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_73|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_73
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_base_fact_updates_rishavranaut_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_fact_updates_rishavranaut_en.md
new file mode 100644
index 00000000000000..ab993dd7bbdbd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_fact_updates_rishavranaut_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_fact_updates_rishavranaut RoBertaForSequenceClassification from rishavranaut
+author: John Snow Labs
+name: roberta_base_fact_updates_rishavranaut
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_fact_updates_rishavranaut` is a English model originally trained by rishavranaut.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_fact_updates_rishavranaut_en_5.5.0_3.0_1726641698603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_fact_updates_rishavranaut_en_5.5.0_3.0_1726641698603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_bible_accelerate|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/Pragash-Mohanarajah/roberta-base-finetuned-bible-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_base_finetuned_cola_callis6699_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_finetuned_cola_callis6699_pipeline_en.md
new file mode 100644
index 00000000000000..da0729a6431616
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_finetuned_cola_callis6699_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_cola_callis6699_pipeline pipeline RoBertaForSequenceClassification from Callis6699
+author: John Snow Labs
+name: roberta_base_finetuned_cola_callis6699_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_cola_callis6699_pipeline` is a English model originally trained by Callis6699.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_cola_callis6699_pipeline_en_5.5.0_3.0_1726628628953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_cola_callis6699_pipeline_en_5.5.0_3.0_1726628628953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_cola_callis6699_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_cola_callis6699_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_cola_callis6699_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|429.9 MB|
+
+## References
+
+https://huggingface.co/Callis6699/roberta-base-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_base_finetuned_dow_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_finetuned_dow_en.md
new file mode 100644
index 00000000000000..f1392f1070896b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_finetuned_dow_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_dow RoBertaForSequenceClassification from Khuyagbaatar
+author: John Snow Labs
+name: roberta_base_finetuned_dow
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_dow` is a English model originally trained by Khuyagbaatar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_dow_en_5.5.0_3.0_1726641564957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_dow_en_5.5.0_3.0_1726641564957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_dow|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.0 MB|
+
+## References
+
+https://huggingface.co/Khuyagbaatar/roberta-base-finetuned-dow
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_base_frozen_generics_mlm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_frozen_generics_mlm_pipeline_en.md
new file mode 100644
index 00000000000000..7f0cf2eb411cfa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_frozen_generics_mlm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_frozen_generics_mlm_pipeline pipeline RoBertaEmbeddings from sello-ralethe
+author: John Snow Labs
+name: roberta_base_frozen_generics_mlm_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_frozen_generics_mlm_pipeline` is a English model originally trained by sello-ralethe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_frozen_generics_mlm_pipeline_en_5.5.0_3.0_1726678688514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_frozen_generics_mlm_pipeline_en_5.5.0_3.0_1726678688514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_frozen_generics_mlm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_frozen_generics_mlm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_frozen_generics_mlm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|298.2 MB|
+
+## References
+
+https://huggingface.co/sello-ralethe/roberta-base-frozen-generics-mlm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_base_imdb_aypan17_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_imdb_aypan17_en.md
new file mode 100644
index 00000000000000..ea399c2542c5fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_imdb_aypan17_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_imdb_aypan17 RoBertaForSequenceClassification from aypan17
+author: John Snow Labs
+name: roberta_base_imdb_aypan17
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_imdb_aypan17` is a English model originally trained by aypan17.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_imdb_aypan17_en_5.5.0_3.0_1726690446756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_imdb_aypan17_en_5.5.0_3.0_1726690446756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_pretrained_marathi_marh_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/DeadBeast/roberta-base-pretrained-mr-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_base_semantic_plausibility_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_semantic_plausibility_en.md
new file mode 100644
index 00000000000000..e8a2a075963a7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_semantic_plausibility_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_semantic_plausibility RoBertaForSequenceClassification from nguyenhongquy
+author: John Snow Labs
+name: roberta_base_semantic_plausibility
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_semantic_plausibility` is a English model originally trained by nguyenhongquy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_semantic_plausibility_en_5.5.0_3.0_1726666306270.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_semantic_plausibility_en_5.5.0_3.0_1726666306270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_tutorial|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/Arthuerwang/roberta-base-tutorial
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_baseline_finetuned_atis_3pct_v0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_baseline_finetuned_atis_3pct_v0_pipeline_en.md
new file mode 100644
index 00000000000000..4fa1c916c3834d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_baseline_finetuned_atis_3pct_v0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_baseline_finetuned_atis_3pct_v0_pipeline pipeline RoBertaForSequenceClassification from benayas
+author: John Snow Labs
+name: roberta_baseline_finetuned_atis_3pct_v0_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_baseline_finetuned_atis_3pct_v0_pipeline` is a English model originally trained by benayas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_baseline_finetuned_atis_3pct_v0_pipeline_en_5.5.0_3.0_1726641745235.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_baseline_finetuned_atis_3pct_v0_pipeline_en_5.5.0_3.0_1726641745235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_baseline_finetuned_atis_3pct_v0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_baseline_finetuned_atis_3pct_v0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_baseline_finetuned_atis_3pct_v0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|417.1 MB|
+
+## References
+
+https://huggingface.co/benayas/roberta-baseline-finetuned-atis_3pct_v0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_dnd_intents_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_dnd_intents_pipeline_en.md
new file mode 100644
index 00000000000000..0a95b064f12b70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_dnd_intents_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_dnd_intents_pipeline pipeline RoBertaForSequenceClassification from neurae
+author: John Snow Labs
+name: roberta_dnd_intents_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_dnd_intents_pipeline` is a English model originally trained by neurae.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_dnd_intents_pipeline_en_5.5.0_3.0_1726641428794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_dnd_intents_pipeline_en_5.5.0_3.0_1726641428794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_dnd_intents_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_dnd_intents_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_dnd_intents_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/neurae/roberta-dnd-intents
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_imdb_20k_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_imdb_20k_en.md
new file mode 100644
index 00000000000000..8d625f00659551
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_imdb_20k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_imdb_20k RoBertaEmbeddings from jmarcosh
+author: John Snow Labs
+name: roberta_imdb_20k
+date: 2024-09-18
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_imdb_20k` is a English model originally trained by jmarcosh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_imdb_20k_en_5.5.0_3.0_1726618413885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_imdb_20k_en_5.5.0_3.0_1726618413885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_accel_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/danschr/roberta-large-accel-BS_16-EPOCHS_5-LR_5e-05-ACC_GRAD_2-MAX_LENGTH_165
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_large_hoax_classifier_def_v1_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_hoax_classifier_def_v1_en.md
new file mode 100644
index 00000000000000..0db7e3dcab40c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_hoax_classifier_def_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_hoax_classifier_def_v1 RoBertaForSequenceClassification from research-dump
+author: John Snow Labs
+name: roberta_large_hoax_classifier_def_v1
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_hoax_classifier_def_v1` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_hoax_classifier_def_v1_en_5.5.0_3.0_1726641817075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_hoax_classifier_def_v1_en_5.5.0_3.0_1726641817075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_hoax_classifier_def_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/research-dump/roberta-large_hoax_classifier_def_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_large_ner_nepal_bhasa_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_ner_nepal_bhasa_en.md
new file mode 100644
index 00000000000000..3c9a52038e17e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_ner_nepal_bhasa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_ner_nepal_bhasa RoBertaForTokenClassification from douglasadams11
+author: John Snow Labs
+name: roberta_large_ner_nepal_bhasa
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_ner_nepal_bhasa` is a English model originally trained by douglasadams11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_ner_nepal_bhasa_en_5.5.0_3.0_1726653229424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_ner_nepal_bhasa_en_5.5.0_3.0_1726653229424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_ner_nepal_bhasa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/douglasadams11/roberta-large-ner-new
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_large_ner_nepal_bhasa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_ner_nepal_bhasa_pipeline_en.md
new file mode 100644
index 00000000000000..3ce86abb2c484a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_ner_nepal_bhasa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_ner_nepal_bhasa_pipeline pipeline RoBertaForTokenClassification from douglasadams11
+author: John Snow Labs
+name: roberta_large_ner_nepal_bhasa_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_ner_nepal_bhasa_pipeline` is a English model originally trained by douglasadams11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_ner_nepal_bhasa_pipeline_en_5.5.0_3.0_1726653298668.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_ner_nepal_bhasa_pipeline_en_5.5.0_3.0_1726653298668.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_ner_nepal_bhasa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_ner_nepal_bhasa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_ner_nepal_bhasa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/douglasadams11/roberta-large-ner-new
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_tiny_2l_10m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_tiny_2l_10m_pipeline_en.md
new file mode 100644
index 00000000000000..99e36bca132ac4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_tiny_2l_10m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_tiny_2l_10m_pipeline pipeline RoBertaEmbeddings from g8a9
+author: John Snow Labs
+name: roberta_tiny_2l_10m_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tiny_2l_10m_pipeline` is a English model originally trained by g8a9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tiny_2l_10m_pipeline_en_5.5.0_3.0_1726618225272.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tiny_2l_10m_pipeline_en_5.5.0_3.0_1726618225272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_tiny_2l_10m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_tiny_2l_10m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tiny_2l_10m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|274.6 MB|
+
+## References
+
+https://huggingface.co/g8a9/roberta-tiny-2l-10M
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_twitterfin_padding30model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_twitterfin_padding30model_pipeline_en.md
new file mode 100644
index 00000000000000..5a6bafbd42fa4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_twitterfin_padding30model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_twitterfin_padding30model_pipeline pipeline RoBertaForSequenceClassification from Realgon
+author: John Snow Labs
+name: roberta_twitterfin_padding30model_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_twitterfin_padding30model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_twitterfin_padding30model_pipeline_en_5.5.0_3.0_1726649703639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_twitterfin_padding30model_pipeline_en_5.5.0_3.0_1726649703639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_twitterfin_padding30model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_twitterfin_padding30model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_twitterfin_padding30model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|443.0 MB|
+
+## References
+
+https://huggingface.co/Realgon/roberta_twitterfin_padding30model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-rottentomato_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-rottentomato_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..fee55059d81d9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-rottentomato_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English rottentomato_classifier_pipeline pipeline DistilBertForSequenceClassification from tolgadev
+author: John Snow Labs
+name: rottentomato_classifier_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rottentomato_classifier_pipeline` is a English model originally trained by tolgadev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rottentomato_classifier_pipeline_en_5.5.0_3.0_1726669929096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rottentomato_classifier_pipeline_en_5.5.0_3.0_1726669929096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rottentomato_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rottentomato_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rottentomato_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tolgadev/rottentomato-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_25lang_cased_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_25lang_cased_en.md
new file mode 100644
index 00000000000000..dede74db6e7d25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_25lang_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_25lang_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_25lang_cased
+date: 2024-09-18
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_25lang_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_25lang_cased_en_5.5.0_3.0_1726687050089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_25lang_cased_en_5.5.0_3.0_1726687050089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_25lang_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|565.3 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-25lang-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_english_arabic_cased_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_english_arabic_cased_en.md
new file mode 100644
index 00000000000000..11af66ac93e886
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_english_arabic_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_arabic_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_arabic_cased
+date: 2024-09-18
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_arabic_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_arabic_cased_en_5.5.0_3.0_1726676081686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_arabic_cased_en_5.5.0_3.0_1726676081686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_arabic_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-ar-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_english_arabic_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_english_arabic_cased_pipeline_en.md
new file mode 100644
index 00000000000000..467d0a119c58b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_english_arabic_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_arabic_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_arabic_cased_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_arabic_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_arabic_cased_pipeline_en_5.5.0_3.0_1726676101535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_arabic_cased_pipeline_en_5.5.0_3.0_1726676101535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_arabic_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_arabic_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_arabic_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|413.0 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-ar-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_uncased_finetuned_imdb_shushuile_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_uncased_finetuned_imdb_shushuile_pipeline_en.md
new file mode 100644
index 00000000000000..c644081d8580c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_uncased_finetuned_imdb_shushuile_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_imdb_shushuile_pipeline pipeline BertSentenceEmbeddings from shushuile
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_imdb_shushuile_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_imdb_shushuile_pipeline` is a English model originally trained by shushuile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_imdb_shushuile_pipeline_en_5.5.0_3.0_1726687360653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_imdb_shushuile_pipeline_en_5.5.0_3.0_1726687360653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_finetuned_imdb_shushuile_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_finetuned_imdb_shushuile_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_imdb_shushuile_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/shushuile/bert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_chungliao_mbert_base_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_chungliao_mbert_base_cased_pipeline_en.md
new file mode 100644
index 00000000000000..536e63842ebff7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_chungliao_mbert_base_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_chungliao_mbert_base_cased_pipeline pipeline BertSentenceEmbeddings from N1ch0
+author: John Snow Labs
+name: sent_chungliao_mbert_base_cased_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_chungliao_mbert_base_cased_pipeline` is a English model originally trained by N1ch0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_chungliao_mbert_base_cased_pipeline_en_5.5.0_3.0_1726687017009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_chungliao_mbert_base_cased_pipeline_en_5.5.0_3.0_1726687017009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_chungliao_mbert_base_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_chungliao_mbert_base_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_chungliao_mbert_base_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|665.6 MB|
+
+## References
+
+https://huggingface.co/N1ch0/chungliao-mbert-base-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_condenser_bert_large_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_condenser_bert_large_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..2d57381fe63611
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_condenser_bert_large_uncased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_condenser_bert_large_uncased_pipeline pipeline BertSentenceEmbeddings from ffgcc
+author: John Snow Labs
+name: sent_condenser_bert_large_uncased_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_condenser_bert_large_uncased_pipeline` is a English model originally trained by ffgcc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_condenser_bert_large_uncased_pipeline_en_5.5.0_3.0_1726639636561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_condenser_bert_large_uncased_pipeline_en_5.5.0_3.0_1726639636561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_condenser_bert_large_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_condenser_bert_large_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_condenser_bert_large_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ffgcc/condenser-bert-large-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_conflibert_cont_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_conflibert_cont_cased_pipeline_en.md
new file mode 100644
index 00000000000000..8997b22d2404d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_conflibert_cont_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_conflibert_cont_cased_pipeline pipeline BertSentenceEmbeddings from snowood1
+author: John Snow Labs
+name: sent_conflibert_cont_cased_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_conflibert_cont_cased_pipeline` is a English model originally trained by snowood1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_conflibert_cont_cased_pipeline_en_5.5.0_3.0_1726639639190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_conflibert_cont_cased_pipeline_en_5.5.0_3.0_1726639639190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_conflibert_cont_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_conflibert_cont_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_conflibert_cont_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.4 MB|
+
+## References
+
+https://huggingface.co/snowood1/ConfliBERT-cont-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_convbert_base_generator_finnish_pipeline_fi.md b/docs/_posts/ahmedlone127/2024-09-18-sent_convbert_base_generator_finnish_pipeline_fi.md
new file mode 100644
index 00000000000000..7707f1bfd51e75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_convbert_base_generator_finnish_pipeline_fi.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Finnish sent_convbert_base_generator_finnish_pipeline pipeline BertSentenceEmbeddings from Finnish-NLP
+author: John Snow Labs
+name: sent_convbert_base_generator_finnish_pipeline
+date: 2024-09-18
+tags: [fi, open_source, pipeline, onnx]
+task: Embeddings
+language: fi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_convbert_base_generator_finnish_pipeline` is a Finnish model originally trained by Finnish-NLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_convbert_base_generator_finnish_pipeline_fi_5.5.0_3.0_1726676173834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_convbert_base_generator_finnish_pipeline_fi_5.5.0_3.0_1726676173834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_convbert_base_generator_finnish_pipeline", lang = "fi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_convbert_base_generator_finnish_pipeline", lang = "fi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_convbert_base_generator_finnish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fi|
+|Size:|181.9 MB|
+
+## References
+
+https://huggingface.co/Finnish-NLP/convbert-base-generator-finnish
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_greeksocialbert_base_greek_uncased_v1_pipeline_el.md b/docs/_posts/ahmedlone127/2024-09-18-sent_greeksocialbert_base_greek_uncased_v1_pipeline_el.md
new file mode 100644
index 00000000000000..f8f668db999e33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_greeksocialbert_base_greek_uncased_v1_pipeline_el.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Modern Greek (1453-) sent_greeksocialbert_base_greek_uncased_v1_pipeline pipeline BertSentenceEmbeddings from gealexandri
+author: John Snow Labs
+name: sent_greeksocialbert_base_greek_uncased_v1_pipeline
+date: 2024-09-18
+tags: [el, open_source, pipeline, onnx]
+task: Embeddings
+language: el
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_greeksocialbert_base_greek_uncased_v1_pipeline` is a Modern Greek (1453-) model originally trained by gealexandri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_greeksocialbert_base_greek_uncased_v1_pipeline_el_5.5.0_3.0_1726694224140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_greeksocialbert_base_greek_uncased_v1_pipeline_el_5.5.0_3.0_1726694224140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_greeksocialbert_base_greek_uncased_v1_pipeline", lang = "el")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_greeksocialbert_base_greek_uncased_v1_pipeline", lang = "el")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_greeksocialbert_base_greek_uncased_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|el|
+|Size:|421.8 MB|
+
+## References
+
+https://huggingface.co/gealexandri/greeksocialbert-base-greek-uncased-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_protaugment_lm_liu_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_protaugment_lm_liu_en.md
new file mode 100644
index 00000000000000..5ba3800e3bc183
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_protaugment_lm_liu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_protaugment_lm_liu BertSentenceEmbeddings from tdopierre
+author: John Snow Labs
+name: sent_protaugment_lm_liu
+date: 2024-09-18
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_protaugment_lm_liu` is a English model originally trained by tdopierre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_protaugment_lm_liu_en_5.5.0_3.0_1726675761667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_protaugment_lm_liu_en_5.5.0_3.0_1726675761667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_protaugment_lm_liu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.4 MB|
+
+## References
+
+https://huggingface.co/tdopierre/ProtAugment-LM-Liu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sentiment_roberta_large_e12_b16_en.md b/docs/_posts/ahmedlone127/2024-09-18-sentiment_roberta_large_e12_b16_en.md
new file mode 100644
index 00000000000000..a3acb716f801cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sentiment_roberta_large_e12_b16_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_roberta_large_e12_b16 RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sentiment_roberta_large_e12_b16
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_roberta_large_e12_b16` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_roberta_large_e12_b16_en_5.5.0_3.0_1726650662285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_roberta_large_e12_b16_en_5.5.0_3.0_1726650662285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_roberta_large_e12_b16|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/JerryYanJiang/sentiment-roberta-large-e12-b16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_pipeline_en.md
new file mode 100644
index 00000000000000..a35240d3fa4d46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_pipeline_en_5.5.0_3.0_1726628654237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_pipeline_en_5.5.0_3.0_1726628654237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_random0_seed0-twitter-roberta-base-2021-124m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sentiment_sentiment_small_random1_seed0_bertweet_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sentiment_sentiment_small_random1_seed0_bertweet_large_pipeline_en.md
new file mode 100644
index 00000000000000..cf106ee42597dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sentiment_sentiment_small_random1_seed0_bertweet_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random1_seed0_bertweet_large_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random1_seed0_bertweet_large_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random1_seed0_bertweet_large_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random1_seed0_bertweet_large_pipeline_en_5.5.0_3.0_1726642719273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random1_seed0_bertweet_large_pipeline_en_5.5.0_3.0_1726642719273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_sentiment_small_random1_seed0_bertweet_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_sentiment_small_random1_seed0_bertweet_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_random1_seed0_bertweet_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_random1_seed0-bertweet-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-social_media_fake_news_detection_en.md b/docs/_posts/ahmedlone127/2024-09-18-social_media_fake_news_detection_en.md
new file mode 100644
index 00000000000000..80ba028742199a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-social_media_fake_news_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English social_media_fake_news_detection RoBertaForSequenceClassification from ljz512187207
+author: John Snow Labs
+name: social_media_fake_news_detection
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`social_media_fake_news_detection` is a English model originally trained by ljz512187207.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/social_media_fake_news_detection_en_5.5.0_3.0_1726621670506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/social_media_fake_news_detection_en_5.5.0_3.0_1726621670506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|social_media_fake_news_detection|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/ljz512187207/Social_Media_Fake_News_Detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sst2_padding60model_en.md b/docs/_posts/ahmedlone127/2024-09-18-sst2_padding60model_en.md
new file mode 100644
index 00000000000000..afa531d2308ad1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sst2_padding60model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sst2_padding60model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: sst2_padding60model
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sst2_padding60model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sst2_padding60model_en_5.5.0_3.0_1726681688579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst2_padding60model_en_5.5.0_3.0_1726681688579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sst2_padding60model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/sst2_padding60model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sst2_padding60model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sst2_padding60model_pipeline_en.md
new file mode 100644
index 00000000000000..7c3e8a7ee0d19c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sst2_padding60model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sst2_padding60model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: sst2_padding60model_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sst2_padding60model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sst2_padding60model_pipeline_en_5.5.0_3.0_1726681701522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst2_padding60model_pipeline_en_5.5.0_3.0_1726681701522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sst2_padding60model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sst2_padding60model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sst2_padding60model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/sst2_padding60model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-stego_classifier_checkpoint_epoch_0_2024_07_26_14_26_52_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-stego_classifier_checkpoint_epoch_0_2024_07_26_14_26_52_pipeline_en.md
new file mode 100644
index 00000000000000..4b4044bf202600
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-stego_classifier_checkpoint_epoch_0_2024_07_26_14_26_52_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_0_2024_07_26_14_26_52_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_0_2024_07_26_14_26_52_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_0_2024_07_26_14_26_52_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_0_2024_07_26_14_26_52_pipeline_en_5.5.0_3.0_1726625729616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_0_2024_07_26_14_26_52_pipeline_en_5.5.0_3.0_1726625729616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_0_2024_07_26_14_26_52_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_0_2024_07_26_14_26_52_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_0_2024_07_26_14_26_52_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-0-2024-07-26_14-26-52
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-super_puper_awesome_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-super_puper_awesome_model_pipeline_en.md
new file mode 100644
index 00000000000000..a82330157d171d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-super_puper_awesome_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English super_puper_awesome_model_pipeline pipeline DistilBertForSequenceClassification from Valyanka
+author: John Snow Labs
+name: super_puper_awesome_model_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`super_puper_awesome_model_pipeline` is a English model originally trained by Valyanka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/super_puper_awesome_model_pipeline_en_5.5.0_3.0_1726669303911.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/super_puper_awesome_model_pipeline_en_5.5.0_3.0_1726669303911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("super_puper_awesome_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("super_puper_awesome_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|super_puper_awesome_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.8 MB|
+
+## References
+
+https://huggingface.co/Valyanka/super-puper_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-synthetic_wmdp_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-18-synthetic_wmdp_classifier_en.md
new file mode 100644
index 00000000000000..40b66aeec7b99c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-synthetic_wmdp_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English synthetic_wmdp_classifier RoBertaForSequenceClassification from chrisliu298
+author: John Snow Labs
+name: synthetic_wmdp_classifier
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`synthetic_wmdp_classifier` is a English model originally trained by chrisliu298.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/synthetic_wmdp_classifier_en_5.5.0_3.0_1726628628089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/synthetic_wmdp_classifier_en_5.5.0_3.0_1726628628089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|synthetic_wmdp_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|450.7 MB|
+
+## References
+
+https://huggingface.co/chrisliu298/synthetic_wmdp_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-synthetic_wmdp_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-synthetic_wmdp_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..5401314ad7d703
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-synthetic_wmdp_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English synthetic_wmdp_classifier_pipeline pipeline RoBertaForSequenceClassification from chrisliu298
+author: John Snow Labs
+name: synthetic_wmdp_classifier_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`synthetic_wmdp_classifier_pipeline` is a English model originally trained by chrisliu298.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/synthetic_wmdp_classifier_pipeline_en_5.5.0_3.0_1726628650710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/synthetic_wmdp_classifier_pipeline_en_5.5.0_3.0_1726628650710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("synthetic_wmdp_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("synthetic_wmdp_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|synthetic_wmdp_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|450.7 MB|
+
+## References
+
+https://huggingface.co/chrisliu298/synthetic_wmdp_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-t_103_en.md b/docs/_posts/ahmedlone127/2024-09-18-t_103_en.md
new file mode 100644
index 00000000000000..bd65a44e7f0edf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-t_103_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English t_103 RoBertaForSequenceClassification from Pablojmed
+author: John Snow Labs
+name: t_103
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t_103` is a English model originally trained by Pablojmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t_103_en_5.5.0_3.0_1726650391405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t_103_en_5.5.0_3.0_1726650391405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tacl_bert_base_uncased_finetuned_squad_task|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/sandeepvarma99/TaCL-bert-base-uncased-finetuned-squad-task
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-test_forwarder1121_en.md b/docs/_posts/ahmedlone127/2024-09-18-test_forwarder1121_en.md
new file mode 100644
index 00000000000000..db6ebb00d6537d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-test_forwarder1121_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_forwarder1121 DistilBertForSequenceClassification from forwarder1121
+author: John Snow Labs
+name: test_forwarder1121
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_forwarder1121` is a English model originally trained by forwarder1121.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_forwarder1121_en_5.5.0_3.0_1726681816176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_forwarder1121_en_5.5.0_3.0_1726681816176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_forwarder1121|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/forwarder1121/test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-text_sentiment_analyse_en.md b/docs/_posts/ahmedlone127/2024-09-18-text_sentiment_analyse_en.md
new file mode 100644
index 00000000000000..b113eec157235c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-text_sentiment_analyse_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English text_sentiment_analyse DistilBertForSequenceClassification from tuskbyte
+author: John Snow Labs
+name: text_sentiment_analyse
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_sentiment_analyse` is a English model originally trained by tuskbyte.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_sentiment_analyse_en_5.5.0_3.0_1726669627603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_sentiment_analyse_en_5.5.0_3.0_1726669627603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_sentiment_analyse|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tuskbyte/text-sentiment-analyse
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-tibetan_roberta_g_v1_867238_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-tibetan_roberta_g_v1_867238_pipeline_en.md
new file mode 100644
index 00000000000000..750595c704b7d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-tibetan_roberta_g_v1_867238_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tibetan_roberta_g_v1_867238_pipeline pipeline RoBertaEmbeddings from spsither
+author: John Snow Labs
+name: tibetan_roberta_g_v1_867238_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tibetan_roberta_g_v1_867238_pipeline` is a English model originally trained by spsither.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tibetan_roberta_g_v1_867238_pipeline_en_5.5.0_3.0_1726626698236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tibetan_roberta_g_v1_867238_pipeline_en_5.5.0_3.0_1726626698236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tibetan_roberta_g_v1_867238_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tibetan_roberta_g_v1_867238_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tibetan_roberta_g_v1_867238_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/spsither/tibetan_RoBERTa_G_v1_867238
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-topic_topic_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-topic_topic_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en.md
new file mode 100644
index 00000000000000..307fbf8321f82a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-topic_topic_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English topic_topic_random1_seed2_twitter_roberta_base_2022_154m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random1_seed2_twitter_roberta_base_2022_154m_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random1_seed2_twitter_roberta_base_2022_154m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en_5.5.0_3.0_1726642107227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en_5.5.0_3.0_1726642107227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("topic_topic_random1_seed2_twitter_roberta_base_2022_154m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("topic_topic_random1_seed2_twitter_roberta_base_2022_154m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random1_seed2_twitter_roberta_base_2022_154m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random1_seed2-twitter-roberta-base-2022-154m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-trainer5c_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-trainer5c_pipeline_en.md
new file mode 100644
index 00000000000000..191442e1bce9a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-trainer5c_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trainer5c_pipeline pipeline DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: trainer5c_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer5c_pipeline` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer5c_pipeline_en_5.5.0_3.0_1726680544937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer5c_pipeline_en_5.5.0_3.0_1726680544937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trainer5c_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trainer5c_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainer5c_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.1 MB|
+
+## References
+
+https://huggingface.co/SimoneJLaudani/trainer5c
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-trainranker_test_test_en.md b/docs/_posts/ahmedlone127/2024-09-18-trainranker_test_test_en.md
new file mode 100644
index 00000000000000..3c7a6df94f4faa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-trainranker_test_test_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trainranker_test_test XlmRoBertaForSequenceClassification from A-Bar
+author: John Snow Labs
+name: trainranker_test_test
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainranker_test_test` is a English model originally trained by A-Bar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainranker_test_test_en_5.5.0_3.0_1726672158944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainranker_test_test_en_5.5.0_3.0_1726672158944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainranker_test_test|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|299.4 MB|
+
+## References
+
+https://huggingface.co/A-Bar/trainRanker_test_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-trainranker_test_test_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-trainranker_test_test_pipeline_en.md
new file mode 100644
index 00000000000000..82e3f924186be1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-trainranker_test_test_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trainranker_test_test_pipeline pipeline XlmRoBertaForSequenceClassification from A-Bar
+author: John Snow Labs
+name: trainranker_test_test_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainranker_test_test_pipeline` is a English model originally trained by A-Bar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainranker_test_test_pipeline_en_5.5.0_3.0_1726672212671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainranker_test_test_pipeline_en_5.5.0_3.0_1726672212671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trainranker_test_test_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trainranker_test_test_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainranker_test_test_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|299.5 MB|
+
+## References
+
+https://huggingface.co/A-Bar/trainRanker_test_test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-transfomer_preds_en.md b/docs/_posts/ahmedlone127/2024-09-18-transfomer_preds_en.md
new file mode 100644
index 00000000000000..6f9931dbef38de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-transfomer_preds_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English transfomer_preds DistilBertForSequenceClassification from Aalaa
+author: John Snow Labs
+name: transfomer_preds
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`transfomer_preds` is a English model originally trained by Aalaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transfomer_preds_en_5.5.0_3.0_1726677436946.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transfomer_preds_en_5.5.0_3.0_1726677436946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|transfomer_preds|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Aalaa/transfomer_preds
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-twitter_roberta_base_sentiment_fine_tuned_en.md b/docs/_posts/ahmedlone127/2024-09-18-twitter_roberta_base_sentiment_fine_tuned_en.md
new file mode 100644
index 00000000000000..391b19410eb4cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-twitter_roberta_base_sentiment_fine_tuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base_sentiment_fine_tuned RoBertaForSequenceClassification from chanchongwei
+author: John Snow Labs
+name: twitter_roberta_base_sentiment_fine_tuned
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_sentiment_fine_tuned` is a English model originally trained by chanchongwei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_fine_tuned_en_5.5.0_3.0_1726649402279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_fine_tuned_en_5.5.0_3.0_1726649402279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_sentiment_fine_tuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/chanchongwei/twitter-roberta-base-sentiment-fine-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-twitterfin_padding80model_en.md b/docs/_posts/ahmedlone127/2024-09-18-twitterfin_padding80model_en.md
new file mode 100644
index 00000000000000..41e09563fc4469
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-twitterfin_padding80model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitterfin_padding80model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: twitterfin_padding80model
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitterfin_padding80model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitterfin_padding80model_en_5.5.0_3.0_1726625356982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitterfin_padding80model_en_5.5.0_3.0_1726625356982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitterfin_padding80model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/twitterfin_padding80model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-uned_tfg_08_57_mas_frecuentes_en.md b/docs/_posts/ahmedlone127/2024-09-18-uned_tfg_08_57_mas_frecuentes_en.md
new file mode 100644
index 00000000000000..2080bbf1f90679
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-uned_tfg_08_57_mas_frecuentes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English uned_tfg_08_57_mas_frecuentes RoBertaForSequenceClassification from alexisdr
+author: John Snow Labs
+name: uned_tfg_08_57_mas_frecuentes
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`uned_tfg_08_57_mas_frecuentes` is a English model originally trained by alexisdr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uned_tfg_08_57_mas_frecuentes_en_5.5.0_3.0_1726628696963.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uned_tfg_08_57_mas_frecuentes_en_5.5.0_3.0_1726628696963.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|uned_tfg_08_57_mas_frecuentes|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|425.7 MB|
+
+## References
+
+https://huggingface.co/alexisdr/uned-tfg-08.57_mas_frecuentes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-valence_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-valence_model_pipeline_en.md
new file mode 100644
index 00000000000000..54c20d4941ebfa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-valence_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English valence_model_pipeline pipeline DistilBertForSequenceClassification from brianbscho
+author: John Snow Labs
+name: valence_model_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`valence_model_pipeline` is a English model originally trained by brianbscho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/valence_model_pipeline_en_5.5.0_3.0_1726680860153.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/valence_model_pipeline_en_5.5.0_3.0_1726680860153.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("valence_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("valence_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|valence_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/brianbscho/valence-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_english_spanish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_english_spanish_pipeline_en.md
new file mode 100644
index 00000000000000..891bd915d4b1fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_english_spanish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_english_spanish_pipeline pipeline XlmRoBertaForSequenceClassification from xeventminer
+author: John Snow Labs
+name: xlm_roberta_base_english_spanish_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_english_spanish_pipeline` is a English model originally trained by xeventminer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_english_spanish_pipeline_en_5.5.0_3.0_1726685972715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_english_spanish_pipeline_en_5.5.0_3.0_1726685972715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_english_spanish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_english_spanish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_english_spanish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|806.3 MB|
+
+## References
+
+https://huggingface.co/xeventminer/xlm-roberta-base-en-es
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_emotion_vladkolev_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_emotion_vladkolev_en.md
new file mode 100644
index 00000000000000..13906838cde271
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_emotion_vladkolev_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_emotion_vladkolev XlmRoBertaForSequenceClassification from vladkolev
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_emotion_vladkolev
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_emotion_vladkolev` is a English model originally trained by vladkolev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_emotion_vladkolev_en_5.5.0_3.0_1726632790841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_emotion_vladkolev_en_5.5.0_3.0_1726632790841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_emotion_vladkolev|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|843.7 MB|
+
+## References
+
+https://huggingface.co/vladkolev/xlm-roberta-base-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_language_detection_arezo93_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_language_detection_arezo93_en.md
new file mode 100644
index 00000000000000..625a2867435f90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_language_detection_arezo93_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_language_detection_arezo93 XlmRoBertaForSequenceClassification from Arezo93
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_language_detection_arezo93
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_language_detection_arezo93` is a English model originally trained by Arezo93.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_language_detection_arezo93_en_5.5.0_3.0_1726659919700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_language_detection_arezo93_en_5.5.0_3.0_1726659919700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_language_detection_arezo93|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|851.5 MB|
+
+## References
+
+https://huggingface.co/Arezo93/xlm-roberta-base-finetuned-language-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_language_detection_arezo93_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_language_detection_arezo93_pipeline_en.md
new file mode 100644
index 00000000000000..26e8483ad8d14e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_language_detection_arezo93_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_language_detection_arezo93_pipeline pipeline XlmRoBertaForSequenceClassification from Arezo93
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_language_detection_arezo93_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_language_detection_arezo93_pipeline` is a English model originally trained by Arezo93.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_language_detection_arezo93_pipeline_en_5.5.0_3.0_1726660036395.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_language_detection_arezo93_pipeline_en_5.5.0_3.0_1726660036395.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_language_detection_arezo93_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_language_detection_arezo93_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_language_detection_arezo93_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|851.5 MB|
+
+## References
+
+https://huggingface.co/Arezo93/xlm-roberta-base-finetuned-language-detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_language_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_language_en.md
new file mode 100644
index 00000000000000..25e6a701298868
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_language_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_language XlmRoBertaForSequenceClassification from ms25
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_language
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_language` is a English model originally trained by ms25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_language_en_5.5.0_3.0_1726672585508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_language_en_5.5.0_3.0_1726672585508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_language|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|904.3 MB|
+
+## References
+
+https://huggingface.co/ms25/xlm-roberta-base-finetuned-language
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_zardian_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_zardian_en.md
new file mode 100644
index 00000000000000..8f6444ef85e05c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_zardian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_zardian XlmRoBertaForTokenClassification from Zardian
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_zardian
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_zardian` is a English model originally trained by Zardian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_zardian_en_5.5.0_3.0_1726635690843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_zardian_en_5.5.0_3.0_1726635690843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_zardian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/Zardian/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_kata958_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_kata958_en.md
new file mode 100644
index 00000000000000..bdc48c3c7663ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_kata958_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_kata958 XlmRoBertaForTokenClassification from kata958
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_kata958
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_kata958` is a English model originally trained by kata958.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_kata958_en_5.5.0_3.0_1726635365113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_kata958_en_5.5.0_3.0_1726635365113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_kata958|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|814.3 MB|
+
+## References
+
+https://huggingface.co/kata958/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_sh_zheng_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_sh_zheng_pipeline_en.md
new file mode 100644
index 00000000000000..aa2a530aba45c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_sh_zheng_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_sh_zheng_pipeline pipeline XlmRoBertaForTokenClassification from sh-zheng
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_sh_zheng_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_sh_zheng_pipeline` is a English model originally trained by sh-zheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_sh_zheng_pipeline_en_5.5.0_3.0_1726663089527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_sh_zheng_pipeline_en_5.5.0_3.0_1726663089527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_sh_zheng_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_sh_zheng_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_sh_zheng_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|814.3 MB|
+
+## References
+
+https://huggingface.co/sh-zheng/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_hhffxx_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_hhffxx_pipeline_en.md
new file mode 100644
index 00000000000000..6705bb364e53e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_hhffxx_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_hhffxx_pipeline pipeline XlmRoBertaForTokenClassification from hhffxx
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_hhffxx_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_hhffxx_pipeline` is a English model originally trained by hhffxx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_hhffxx_pipeline_en_5.5.0_3.0_1726635847172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_hhffxx_pipeline_en_5.5.0_3.0_1726635847172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_hhffxx_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_hhffxx_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_hhffxx_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|845.1 MB|
+
+## References
+
+https://huggingface.co/hhffxx/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_ryo_hsgw_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_ryo_hsgw_en.md
new file mode 100644
index 00000000000000..7f25ddc213393a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_ryo_hsgw_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_ryo_hsgw XlmRoBertaForTokenClassification from ryo-hsgw
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_ryo_hsgw
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_ryo_hsgw` is a English model originally trained by ryo-hsgw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ryo_hsgw_en_5.5.0_3.0_1726655943681.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ryo_hsgw_en_5.5.0_3.0_1726655943681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_ryo_hsgw|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/ryo-hsgw/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_fkr1306_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_fkr1306_en.md
new file mode 100644
index 00000000000000..3c6f9c494d6e19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_fkr1306_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_fkr1306 XlmRoBertaForTokenClassification from fkr1306
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_fkr1306
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_fkr1306` is a English model originally trained by fkr1306.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_fkr1306_en_5.5.0_3.0_1726655935801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_fkr1306_en_5.5.0_3.0_1726655935801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_fkr1306|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/fkr1306/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_fkr1306_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_fkr1306_pipeline_en.md
new file mode 100644
index 00000000000000..5523218847db70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_fkr1306_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_fkr1306_pipeline pipeline XlmRoBertaForTokenClassification from fkr1306
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_fkr1306_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_fkr1306_pipeline` is a English model originally trained by fkr1306.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_fkr1306_pipeline_en_5.5.0_3.0_1726656022620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_fkr1306_pipeline_en_5.5.0_3.0_1726656022620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_fkr1306_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_fkr1306_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_fkr1306_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/fkr1306/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_danhsf_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_danhsf_en.md
new file mode 100644
index 00000000000000..e1bab44331716c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_danhsf_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_danhsf XlmRoBertaForTokenClassification from danhsf
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_danhsf
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_danhsf` is a English model originally trained by danhsf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_danhsf_en_5.5.0_3.0_1726636090272.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_danhsf_en_5.5.0_3.0_1726636090272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_danhsf|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/danhsf/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_kiechu_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_kiechu_en.md
new file mode 100644
index 00000000000000..61f05021c7eeed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_kiechu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_kiechu XlmRoBertaForTokenClassification from kiechu
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_kiechu
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_kiechu` is a English model originally trained by kiechu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_kiechu_en_5.5.0_3.0_1726656281691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_kiechu_en_5.5.0_3.0_1726656281691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_kiechu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/kiechu/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_smallsuper_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_smallsuper_en.md
new file mode 100644
index 00000000000000..8164be23bfbf50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_smallsuper_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_smallsuper XlmRoBertaForTokenClassification from smallsuper
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_smallsuper
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_smallsuper` is a English model originally trained by smallsuper.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_smallsuper_en_5.5.0_3.0_1726663243771.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_smallsuper_en_5.5.0_3.0_1726663243771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_smallsuper|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/smallsuper/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_youngbeauty_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_youngbeauty_en.md
new file mode 100644
index 00000000000000..dad7e1d910c2b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_youngbeauty_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_youngbeauty XlmRoBertaForTokenClassification from YoungBeauty
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_youngbeauty
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_youngbeauty` is a English model originally trained by YoungBeauty.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_youngbeauty_en_5.5.0_3.0_1726662951337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_youngbeauty_en_5.5.0_3.0_1726662951337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_youngbeauty|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/YoungBeauty/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_isaacp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_isaacp_pipeline_en.md
new file mode 100644
index 00000000000000..c1e0ca59a2d939
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_isaacp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_isaacp_pipeline pipeline XlmRoBertaForTokenClassification from Isaacp
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_isaacp_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_isaacp_pipeline` is a English model originally trained by Isaacp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_isaacp_pipeline_en_5.5.0_3.0_1726635904844.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_isaacp_pipeline_en_5.5.0_3.0_1726635904844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_isaacp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_isaacp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_isaacp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/Isaacp/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_michaelsungboklee_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_michaelsungboklee_en.md
new file mode 100644
index 00000000000000..0ee8665ffaf00a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_michaelsungboklee_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_michaelsungboklee XlmRoBertaForTokenClassification from michaelsungboklee
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_michaelsungboklee
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_michaelsungboklee` is a English model originally trained by michaelsungboklee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_michaelsungboklee_en_5.5.0_3.0_1726655968174.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_michaelsungboklee_en_5.5.0_3.0_1726655968174.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_michaelsungboklee|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/michaelsungboklee/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_postrational_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_postrational_pipeline_en.md
new file mode 100644
index 00000000000000..e2ea98e26eab57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_postrational_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_postrational_pipeline pipeline XlmRoBertaForTokenClassification from postrational
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_postrational_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_postrational_pipeline` is a English model originally trained by postrational.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_postrational_pipeline_en_5.5.0_3.0_1726657039550.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_postrational_pipeline_en_5.5.0_3.0_1726657039550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_postrational_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_postrational_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_postrational_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/postrational/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_rlpeter70_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_rlpeter70_en.md
new file mode 100644
index 00000000000000..e38618acc5beec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_rlpeter70_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_rlpeter70 XlmRoBertaForTokenClassification from rlpeter70
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_rlpeter70
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_rlpeter70` is a English model originally trained by rlpeter70.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_rlpeter70_en_5.5.0_3.0_1726636247653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_rlpeter70_en_5.5.0_3.0_1726636247653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_rlpeter70|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/rlpeter70/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_jbreunig_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_jbreunig_pipeline_en.md
new file mode 100644
index 00000000000000..b5294e7e7b2131
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_jbreunig_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_jbreunig_pipeline pipeline XlmRoBertaForTokenClassification from jbreunig
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_jbreunig_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_jbreunig_pipeline` is a English model originally trained by jbreunig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_jbreunig_pipeline_en_5.5.0_3.0_1726656323800.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_jbreunig_pipeline_en_5.5.0_3.0_1726656323800.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_jbreunig_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_jbreunig_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_jbreunig_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|828.6 MB|
+
+## References
+
+https://huggingface.co/jbreunig/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_jx7789_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_jx7789_en.md
new file mode 100644
index 00000000000000..84b7c41cb049f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_jx7789_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_jx7789 XlmRoBertaForTokenClassification from jx7789
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_jx7789
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_jx7789` is a English model originally trained by jx7789.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_jx7789_en_5.5.0_3.0_1726656330195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_jx7789_en_5.5.0_3.0_1726656330195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_jx7789|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|828.6 MB|
+
+## References
+
+https://huggingface.co/jx7789/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_jx7789_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_jx7789_pipeline_en.md
new file mode 100644
index 00000000000000..cb51fdab66eaff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_jx7789_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_jx7789_pipeline pipeline XlmRoBertaForTokenClassification from jx7789
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_jx7789_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_jx7789_pipeline` is a English model originally trained by jx7789.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_jx7789_pipeline_en_5.5.0_3.0_1726656419374.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_jx7789_pipeline_en_5.5.0_3.0_1726656419374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_jx7789_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_jx7789_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_jx7789_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|828.6 MB|
+
+## References
+
+https://huggingface.co/jx7789/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_mealduct_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_mealduct_en.md
new file mode 100644
index 00000000000000..bc8da849df9d6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_mealduct_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_mealduct XlmRoBertaForTokenClassification from MealDuct
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_mealduct
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_mealduct` is a English model originally trained by MealDuct.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_mealduct_en_5.5.0_3.0_1726656761283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_mealduct_en_5.5.0_3.0_1726656761283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_mealduct|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|816.7 MB|
+
+## References
+
+https://huggingface.co/MealDuct/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_taoyoung_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_taoyoung_pipeline_en.md
new file mode 100644
index 00000000000000..eea706690d700d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_taoyoung_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_taoyoung_pipeline pipeline XlmRoBertaForTokenClassification from taoyoung
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_taoyoung_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_taoyoung_pipeline` is a English model originally trained by taoyoung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_taoyoung_pipeline_en_5.5.0_3.0_1726656744875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_taoyoung_pipeline_en_5.5.0_3.0_1726656744875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_taoyoung_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_taoyoung_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_taoyoung_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|824.2 MB|
+
+## References
+
+https://huggingface.co/taoyoung/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_mixed_origin_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_mixed_origin_pipeline_en.md
new file mode 100644
index 00000000000000..15c06feadd5488
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_mixed_origin_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_mixed_origin_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_mixed_origin_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_mixed_origin_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_mixed_origin_pipeline_en_5.5.0_3.0_1726671658231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_mixed_origin_pipeline_en_5.5.0_3.0_1726671658231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_mixed_origin_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_mixed_origin_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_mixed_origin_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|834.8 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Mixed-origin
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_synonym_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_synonym_pipeline_en.md
new file mode 100644
index 00000000000000..547aaaf6d2b5ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_synonym_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_synonym_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_synonym_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_synonym_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_synonym_pipeline_en_5.5.0_3.0_1726672022455.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_synonym_pipeline_en_5.5.0_3.0_1726672022455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_synonym_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_synonym_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_synonym_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|794.9 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-New_VietNam-aug_insert_synonym
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_reddit_indonesia_sarcastic_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_reddit_indonesia_sarcastic_en.md
new file mode 100644
index 00000000000000..9e68de520dc49e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_reddit_indonesia_sarcastic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_reddit_indonesia_sarcastic XlmRoBertaForSequenceClassification from w11wo
+author: John Snow Labs
+name: xlm_roberta_base_reddit_indonesia_sarcastic
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_reddit_indonesia_sarcastic` is a English model originally trained by w11wo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_reddit_indonesia_sarcastic_en_5.5.0_3.0_1726697346620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_reddit_indonesia_sarcastic_en_5.5.0_3.0_1726697346620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_reddit_indonesia_sarcastic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|820.7 MB|
+
+## References
+
+https://huggingface.co/w11wo/xlm-roberta-base-reddit-indonesia-sarcastic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_reddit_indonesia_sarcastic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_reddit_indonesia_sarcastic_pipeline_en.md
new file mode 100644
index 00000000000000..ae0ecfe930c59d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_reddit_indonesia_sarcastic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_reddit_indonesia_sarcastic_pipeline pipeline XlmRoBertaForSequenceClassification from w11wo
+author: John Snow Labs
+name: xlm_roberta_base_reddit_indonesia_sarcastic_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_reddit_indonesia_sarcastic_pipeline` is a English model originally trained by w11wo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_reddit_indonesia_sarcastic_pipeline_en_5.5.0_3.0_1726697465597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_reddit_indonesia_sarcastic_pipeline_en_5.5.0_3.0_1726697465597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_reddit_indonesia_sarcastic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_reddit_indonesia_sarcastic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_reddit_indonesia_sarcastic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|820.8 MB|
+
+## References
+
+https://huggingface.co/w11wo/xlm-roberta-base-reddit-indonesia-sarcastic
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_trimmed_english_60000_xnli_english_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_trimmed_english_60000_xnli_english_en.md
new file mode 100644
index 00000000000000..c9335cb0ca4025
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_trimmed_english_60000_xnli_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_english_60000_xnli_english XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_english_60000_xnli_english
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_english_60000_xnli_english` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_english_60000_xnli_english_en_5.5.0_3.0_1726697432161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_english_60000_xnli_english_en_5.5.0_3.0_1726697432161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_english_60000_xnli_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-en-60000-xnli-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_trimmed_german_15000_tweet_sentiment_german_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_trimmed_german_15000_tweet_sentiment_german_en.md
new file mode 100644
index 00000000000000..07b9ba6f2ca7bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_trimmed_german_15000_tweet_sentiment_german_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_german_15000_tweet_sentiment_german XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_german_15000_tweet_sentiment_german
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_german_15000_tweet_sentiment_german` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_german_15000_tweet_sentiment_german_en_5.5.0_3.0_1726697917899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_german_15000_tweet_sentiment_german_en_5.5.0_3.0_1726697917899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_german_15000_tweet_sentiment_german|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|361.1 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-de-15000-tweet-sentiment-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_trimmed_spanish_60000_tweet_sentiment_spanish_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_trimmed_spanish_60000_tweet_sentiment_spanish_en.md
new file mode 100644
index 00000000000000..7d26526a5815b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_trimmed_spanish_60000_tweet_sentiment_spanish_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_spanish_60000_tweet_sentiment_spanish XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_spanish_60000_tweet_sentiment_spanish
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_spanish_60000_tweet_sentiment_spanish` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_spanish_60000_tweet_sentiment_spanish_en_5.5.0_3.0_1726672263108.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_spanish_60000_tweet_sentiment_spanish_en_5.5.0_3.0_1726672263108.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_spanish_60000_tweet_sentiment_spanish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|442.0 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-es-60000-tweet-sentiment-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_english_trimmed_english_10000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_english_trimmed_english_10000_pipeline_en.md
new file mode 100644
index 00000000000000..c20e30e32ddbc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_english_trimmed_english_10000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_english_trimmed_english_10000_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_english_trimmed_english_10000_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_english_trimmed_english_10000_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_english_trimmed_english_10000_pipeline_en_5.5.0_3.0_1726632667388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_english_trimmed_english_10000_pipeline_en_5.5.0_3.0_1726632667388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_xnli_english_trimmed_english_10000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_xnli_english_trimmed_english_10000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_english_trimmed_english_10000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|353.6 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-en-trimmed-en-10000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_french_trimmed_french_15000_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_french_trimmed_french_15000_en.md
new file mode 100644
index 00000000000000..c2ca0c3a5e0808
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_french_trimmed_french_15000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_french_trimmed_french_15000 XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_french_trimmed_french_15000
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_french_trimmed_french_15000` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_french_trimmed_french_15000_en_5.5.0_3.0_1726685544907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_french_trimmed_french_15000_en_5.5.0_3.0_1726685544907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_french_trimmed_french_15000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|367.0 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-fr-trimmed-fr-15000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_low_resource_langid_large3_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_low_resource_langid_large3_en.md
new file mode 100644
index 00000000000000..d2031d425b71cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_low_resource_langid_large3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_low_resource_langid_large3 XlmRoBertaForSequenceClassification from frasco9966
+author: John Snow Labs
+name: xlm_roberta_low_resource_langid_large3
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_low_resource_langid_large3` is a English model originally trained by frasco9966.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_low_resource_langid_large3_en_5.5.0_3.0_1726660120639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_low_resource_langid_large3_en_5.5.0_3.0_1726660120639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_low_resource_langid_large3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|970.0 MB|
+
+## References
+
+https://huggingface.co/frasco9966/xlm-roberta-low-resource-langID-large3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlmr_base_finetuned_igbo_2e_4_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlmr_base_finetuned_igbo_2e_4_en.md
new file mode 100644
index 00000000000000..c92ee38f0b96be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlmr_base_finetuned_igbo_2e_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_base_finetuned_igbo_2e_4 XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: xlmr_base_finetuned_igbo_2e_4
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_base_finetuned_igbo_2e_4` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_base_finetuned_igbo_2e_4_en_5.5.0_3.0_1726663530461.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_base_finetuned_igbo_2e_4_en_5.5.0_3.0_1726663530461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_base_finetuned_igbo_2e_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|864.9 MB|
+
+## References
+
+https://huggingface.co/grace-pro/xlmr-base-finetuned-igbo-2e-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlmr_base_trained_conll2002_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlmr_base_trained_conll2002_english_pipeline_en.md
new file mode 100644
index 00000000000000..c01c61032bda46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlmr_base_trained_conll2002_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlmr_base_trained_conll2002_english_pipeline pipeline XlmRoBertaForTokenClassification from DeepaPeri
+author: John Snow Labs
+name: xlmr_base_trained_conll2002_english_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_base_trained_conll2002_english_pipeline` is a English model originally trained by DeepaPeri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_base_trained_conll2002_english_pipeline_en_5.5.0_3.0_1726656992139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_base_trained_conll2002_english_pipeline_en_5.5.0_3.0_1726656992139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmr_base_trained_conll2002_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmr_base_trained_conll2002_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_base_trained_conll2002_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|792.1 MB|
+
+## References
+
+https://huggingface.co/DeepaPeri/XLMR-BASE-TRAINED-CONLL2002-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlmr_nepali_english_norwegian_shuffled_orig_test1000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlmr_nepali_english_norwegian_shuffled_orig_test1000_pipeline_en.md
new file mode 100644
index 00000000000000..a4033430704bce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlmr_nepali_english_norwegian_shuffled_orig_test1000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlmr_nepali_english_norwegian_shuffled_orig_test1000_pipeline pipeline XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_nepali_english_norwegian_shuffled_orig_test1000_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_nepali_english_norwegian_shuffled_orig_test1000_pipeline` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_nepali_english_norwegian_shuffled_orig_test1000_pipeline_en_5.5.0_3.0_1726660152663.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_nepali_english_norwegian_shuffled_orig_test1000_pipeline_en_5.5.0_3.0_1726660152663.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmr_nepali_english_norwegian_shuffled_orig_test1000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmr_nepali_english_norwegian_shuffled_orig_test1000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_nepali_english_norwegian_shuffled_orig_test1000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|819.8 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-ne-en-no_shuffled-orig-test1000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-2020_q2_25p_filtered_combined90_en.md b/docs/_posts/ahmedlone127/2024-09-19-2020_q2_25p_filtered_combined90_en.md
new file mode 100644
index 00000000000000..ed47dbc43fe680
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-2020_q2_25p_filtered_combined90_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2020_q2_25p_filtered_combined90 RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q2_25p_filtered_combined90
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q2_25p_filtered_combined90` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q2_25p_filtered_combined90_en_5.5.0_3.0_1726749169660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q2_25p_filtered_combined90_en_5.5.0_3.0_1726749169660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q2_25p_filtered_combined90|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q2-25p-filtered_combined90
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-2020_q2_25p_filtered_combined90_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-2020_q2_25p_filtered_combined90_pipeline_en.md
new file mode 100644
index 00000000000000..419b29342ffe2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-2020_q2_25p_filtered_combined90_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2020_q2_25p_filtered_combined90_pipeline pipeline RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q2_25p_filtered_combined90_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q2_25p_filtered_combined90_pipeline` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q2_25p_filtered_combined90_pipeline_en_5.5.0_3.0_1726749192599.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q2_25p_filtered_combined90_pipeline_en_5.5.0_3.0_1726749192599.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2020_q2_25p_filtered_combined90_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2020_q2_25p_filtered_combined90_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q2_25p_filtered_combined90_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q2-25p-filtered_combined90
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-2020_q4_75p_filtered_random_en.md b/docs/_posts/ahmedlone127/2024-09-19-2020_q4_75p_filtered_random_en.md
new file mode 100644
index 00000000000000..590e43152d9d79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-2020_q4_75p_filtered_random_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2020_q4_75p_filtered_random RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q4_75p_filtered_random
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q4_75p_filtered_random` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q4_75p_filtered_random_en_5.5.0_3.0_1726748854703.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q4_75p_filtered_random_en_5.5.0_3.0_1726748854703.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q4_75p_filtered_random|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q4-75p-filtered-random
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-2020_q4_75p_filtered_random_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-2020_q4_75p_filtered_random_pipeline_en.md
new file mode 100644
index 00000000000000..39e3b67270e243
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-2020_q4_75p_filtered_random_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2020_q4_75p_filtered_random_pipeline pipeline RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q4_75p_filtered_random_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q4_75p_filtered_random_pipeline` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q4_75p_filtered_random_pipeline_en_5.5.0_3.0_1726748879440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q4_75p_filtered_random_pipeline_en_5.5.0_3.0_1726748879440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2020_q4_75p_filtered_random_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2020_q4_75p_filtered_random_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q4_75p_filtered_random_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q4-75p-filtered-random
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-4_datasets_fake_news_with_balanced_5_en.md b/docs/_posts/ahmedlone127/2024-09-19-4_datasets_fake_news_with_balanced_5_en.md
new file mode 100644
index 00000000000000..81c57fdff5dda7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-4_datasets_fake_news_with_balanced_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 4_datasets_fake_news_with_balanced_5 DistilBertForSequenceClassification from littlepinhorse
+author: John Snow Labs
+name: 4_datasets_fake_news_with_balanced_5
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`4_datasets_fake_news_with_balanced_5` is a English model originally trained by littlepinhorse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/4_datasets_fake_news_with_balanced_5_en_5.5.0_3.0_1726744050720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/4_datasets_fake_news_with_balanced_5_en_5.5.0_3.0_1726744050720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|4_datasets_fake_news_with_balanced_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/littlepinhorse/4_datasets_fake_news_with_balanced_5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-aift_model_review_multiple_label_classification_en.md b/docs/_posts/ahmedlone127/2024-09-19-aift_model_review_multiple_label_classification_en.md
new file mode 100644
index 00000000000000..402583191bc895
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-aift_model_review_multiple_label_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English aift_model_review_multiple_label_classification DistilBertForSequenceClassification from Cielciel
+author: John Snow Labs
+name: aift_model_review_multiple_label_classification
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aift_model_review_multiple_label_classification` is a English model originally trained by Cielciel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aift_model_review_multiple_label_classification_en_5.5.0_3.0_1726763543640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aift_model_review_multiple_label_classification_en_5.5.0_3.0_1726763543640.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aift_model_review_multiple_label_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Cielciel/aift-model-review-multiple-label-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-albert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-19-albert_base_uncased_en.md
new file mode 100644
index 00000000000000..ef2ba22224ad73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-albert_base_uncased_en.md
@@ -0,0 +1,79 @@
+---
+layout: model
+title: ALBERT Embeddings (Base Uncase)
+author: John Snow Labs
+name: albert_base_uncased
+date: 2024-09-19
+tags: [open_source, en, english, embeddings, albert, onnx, openvino]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: openvino
+annotator: AlbertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+ALBERT is "A Lite" version of BERT, a popular unsupervised language representation learning algorithm. ALBERT uses parameter-reduction techniques that allow for large-scale configurations, overcome previous memory limitations, and achieve better behavior with respect to model degradation. The details are described in the paper "[ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.](https://arxiv.org/abs/1909.11942)"
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_uncased_en_5.5.0_3.0_1726762047212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_uncased_en_5.5.0_3.0_1726762047212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|42.0 MB|
+
+## References
+
+References
+
+[https://huggingface.co/albert-base-v2](https://huggingface.co/albert-base-v2)
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-all_roberta_large_v1_work_9_16_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-all_roberta_large_v1_work_9_16_5_pipeline_en.md
new file mode 100644
index 00000000000000..589e4d1ad961e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-all_roberta_large_v1_work_9_16_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_work_9_16_5_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_work_9_16_5_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_work_9_16_5_pipeline` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_work_9_16_5_pipeline_en_5.5.0_3.0_1726726620553.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_work_9_16_5_pipeline_en_5.5.0_3.0_1726726620553.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_roberta_large_v1_work_9_16_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_work_9_16_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_work_9_16_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-work-9-16-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-ambert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-ambert_pipeline_en.md
new file mode 100644
index 00000000000000..bd82e3478c3d77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-ambert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ambert_pipeline pipeline RoBertaEmbeddings from surafelkindu
+author: John Snow Labs
+name: ambert_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ambert_pipeline` is a English model originally trained by surafelkindu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ambert_pipeline_en_5.5.0_3.0_1726748997486.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ambert_pipeline_en_5.5.0_3.0_1726748997486.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ambert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ambert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ambert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|311.5 MB|
+
+## References
+
+https://huggingface.co/surafelkindu/AmBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-araroberta_dz_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-19-araroberta_dz_pipeline_ar.md
new file mode 100644
index 00000000000000..43616aca1cd115
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-araroberta_dz_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic araroberta_dz_pipeline pipeline RoBertaEmbeddings from reemalyami
+author: John Snow Labs
+name: araroberta_dz_pipeline
+date: 2024-09-19
+tags: [ar, open_source, pipeline, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`araroberta_dz_pipeline` is a Arabic model originally trained by reemalyami.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/araroberta_dz_pipeline_ar_5.5.0_3.0_1726749313435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/araroberta_dz_pipeline_ar_5.5.0_3.0_1726749313435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("araroberta_dz_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("araroberta_dz_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|araroberta_dz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|470.6 MB|
+
+## References
+
+https://huggingface.co/reemalyami/AraRoBERTa-DZ
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-article_sentiment_analysis_model_en.md b/docs/_posts/ahmedlone127/2024-09-19-article_sentiment_analysis_model_en.md
new file mode 100644
index 00000000000000..fefac3e12c2f41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-article_sentiment_analysis_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English article_sentiment_analysis_model DistilBertForSequenceClassification from jfr139
+author: John Snow Labs
+name: article_sentiment_analysis_model
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`article_sentiment_analysis_model` is a English model originally trained by jfr139.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/article_sentiment_analysis_model_en_5.5.0_3.0_1726763725686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/article_sentiment_analysis_model_en_5.5.0_3.0_1726763725686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|article_sentiment_analysis_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jfr139/article-sentiment-analysis-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-autotrain_g10wr_ryb7t_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-autotrain_g10wr_ryb7t_pipeline_en.md
new file mode 100644
index 00000000000000..00daa6838c470c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-autotrain_g10wr_ryb7t_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_g10wr_ryb7t_pipeline pipeline RoBertaForTokenClassification from bikashpatra
+author: John Snow Labs
+name: autotrain_g10wr_ryb7t_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_g10wr_ryb7t_pipeline` is a English model originally trained by bikashpatra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_g10wr_ryb7t_pipeline_en_5.5.0_3.0_1726731076526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_g10wr_ryb7t_pipeline_en_5.5.0_3.0_1726731076526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_g10wr_ryb7t_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_g10wr_ryb7t_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_g10wr_ryb7t_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/bikashpatra/autotrain-g10wr-ryb7t
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_arabertv02_finetuned_sandouq_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_arabertv02_finetuned_sandouq_pipeline_ar.md
new file mode 100644
index 00000000000000..def7bfd861bfed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_arabertv02_finetuned_sandouq_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic bert_base_arabertv02_finetuned_sandouq_pipeline pipeline BertEmbeddings from AbdoMamdouh
+author: John Snow Labs
+name: bert_base_arabertv02_finetuned_sandouq_pipeline
+date: 2024-09-19
+tags: [ar, open_source, pipeline, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_arabertv02_finetuned_sandouq_pipeline` is a Arabic model originally trained by AbdoMamdouh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabertv02_finetuned_sandouq_pipeline_ar_5.5.0_3.0_1726731952766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabertv02_finetuned_sandouq_pipeline_ar_5.5.0_3.0_1726731952766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_arabertv02_finetuned_sandouq_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_arabertv02_finetuned_sandouq_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_arabertv02_finetuned_sandouq_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|505.1 MB|
+
+## References
+
+https://huggingface.co/AbdoMamdouh/bert-base-arabertv02-finetuned-sandouq
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_cased_legal_keyword_identifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_cased_legal_keyword_identifier_pipeline_en.md
new file mode 100644
index 00000000000000..db0dde03d682f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_cased_legal_keyword_identifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_legal_keyword_identifier_pipeline pipeline BertForSequenceClassification from TalonMeyer
+author: John Snow Labs
+name: bert_base_cased_legal_keyword_identifier_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_legal_keyword_identifier_pipeline` is a English model originally trained by TalonMeyer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_legal_keyword_identifier_pipeline_en_5.5.0_3.0_1726707183097.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_legal_keyword_identifier_pipeline_en_5.5.0_3.0_1726707183097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_legal_keyword_identifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_legal_keyword_identifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_legal_keyword_identifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/TalonMeyer/bert-base-cased-legal-keyword-identifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_multilingual_uncased_finetuned_hp_xx.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_multilingual_uncased_finetuned_hp_xx.md
new file mode 100644
index 00000000000000..0f272abcf2485d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_multilingual_uncased_finetuned_hp_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual bert_base_multilingual_uncased_finetuned_hp BertEmbeddings from rman-rahimi-29
+author: John Snow Labs
+name: bert_base_multilingual_uncased_finetuned_hp
+date: 2024-09-19
+tags: [xx, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_multilingual_uncased_finetuned_hp` is a Multilingual model originally trained by rman-rahimi-29.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_uncased_finetuned_hp_xx_5.5.0_3.0_1726731775168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_uncased_finetuned_hp_xx_5.5.0_3.0_1726731775168.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_uncased_finetuned_hp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|xx|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/rman-rahimi-29/bert-base-multilingual-uncased-finetuned-hp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_spanish_analysis_app_questions_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_spanish_analysis_app_questions_pipeline_en.md
new file mode 100644
index 00000000000000..3ee9584e909c1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_spanish_analysis_app_questions_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_spanish_analysis_app_questions_pipeline pipeline BertForSequenceClassification from devdroide
+author: John Snow Labs
+name: bert_base_spanish_analysis_app_questions_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_spanish_analysis_app_questions_pipeline` is a English model originally trained by devdroide.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_analysis_app_questions_pipeline_en_5.5.0_3.0_1726770655210.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_analysis_app_questions_pipeline_en_5.5.0_3.0_1726770655210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_spanish_analysis_app_questions_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_spanish_analysis_app_questions_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_analysis_app_questions_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/devdroide/bert-base-spanish-analysis-app-questions
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_ag_news_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_ag_news_finetuned_en.md
new file mode 100644
index 00000000000000..930d9239e9c18c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_ag_news_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_ag_news_finetuned BertForSequenceClassification from odunola
+author: John Snow Labs
+name: bert_base_uncased_ag_news_finetuned
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ag_news_finetuned` is a English model originally trained by odunola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ag_news_finetuned_en_5.5.0_3.0_1726739816215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ag_news_finetuned_en_5.5.0_3.0_1726739816215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_wikitext|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+References
+
+https://huggingface.co/nicholasKluge/bert-base-wikitext
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_wikitext_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_wikitext_pipeline_en.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_wikitext_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_wikitext_pipeline pipeline BertEmbeddings from AiresPucrs
+author: John Snow Labs
+name: bert_base_wikitext_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_wikitext_pipeline` is a English model originally trained by AiresPucrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_wikitext_pipeline_en_5.5.0_3.0_1726734580263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_wikitext_pipeline_en_5.5.0_3.0_1726734580263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_wikitext_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_wikitext_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_wikitext_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/AiresPucrs/bert-base-wikitext
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_distilled_multi_teacher_model_random_tweet_emotion_epoch7_alpha0_8_refined_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_distilled_multi_teacher_model_random_tweet_emotion_epoch7_alpha0_8_refined_en.md
new file mode 100644
index 00000000000000..be3ccb27dca39d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_distilled_multi_teacher_model_random_tweet_emotion_epoch7_alpha0_8_refined_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_distilled_multi_teacher_model_random_tweet_emotion_epoch7_alpha0_8_refined DistilBertForSequenceClassification from ArafatBHossain
+author: John Snow Labs
+name: bert_distilled_multi_teacher_model_random_tweet_emotion_epoch7_alpha0_8_refined
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_distilled_multi_teacher_model_random_tweet_emotion_epoch7_alpha0_8_refined` is a English model originally trained by ArafatBHossain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_distilled_multi_teacher_model_random_tweet_emotion_epoch7_alpha0_8_refined_en_5.5.0_3.0_1726741542280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_distilled_multi_teacher_model_random_tweet_emotion_epoch7_alpha0_8_refined_en_5.5.0_3.0_1726741542280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_distilled_multi_teacher_model_random_tweet_emotion_epoch7_alpha0_8_refined|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ArafatBHossain/bert-distilled-multi_teacher_model_random_tweet_emotion_epoch7_alpha0.8_refined
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_finetuned_ner4_ikram11_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_finetuned_ner4_ikram11_en.md
new file mode 100644
index 00000000000000..9eaee4b3b3690b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_finetuned_ner4_ikram11_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner4_ikram11 BertForTokenClassification from Ikram11
+author: John Snow Labs
+name: bert_finetuned_ner4_ikram11
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner4_ikram11` is a English model originally trained by Ikram11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner4_ikram11_en_5.5.0_3.0_1726774355424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner4_ikram11_en_5.5.0_3.0_1726774355424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_l12_h256_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|65.5 MB|
+
+## References
+
+https://huggingface.co/gaunernst/bert-L12-H256-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_ner_fahmiaziz_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_ner_fahmiaziz_en.md
new file mode 100644
index 00000000000000..5e32b7746a091c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_ner_fahmiaziz_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_ner_fahmiaziz BertForTokenClassification from fahmiaziz
+author: John Snow Labs
+name: bert_ner_fahmiaziz
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_fahmiaziz` is a English model originally trained by fahmiaziz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_fahmiaziz_en_5.5.0_3.0_1726771977029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_fahmiaziz_en_5.5.0_3.0_1726771977029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_fahmiaziz|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/fahmiaziz/bert-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_ner_fahmiaziz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_ner_fahmiaziz_pipeline_en.md
new file mode 100644
index 00000000000000..214d8a97c7ae5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_ner_fahmiaziz_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_ner_fahmiaziz_pipeline pipeline BertForTokenClassification from fahmiaziz
+author: John Snow Labs
+name: bert_ner_fahmiaziz_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_fahmiaziz_pipeline` is a English model originally trained by fahmiaziz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_fahmiaziz_pipeline_en_5.5.0_3.0_1726771997036.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_fahmiaziz_pipeline_en_5.5.0_3.0_1726771997036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_ner_fahmiaziz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_ner_fahmiaziz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_fahmiaziz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/fahmiaziz/bert-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_sbic_offensive_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_sbic_offensive_pipeline_en.md
new file mode 100644
index 00000000000000..a3811c8faef06d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_sbic_offensive_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_sbic_offensive_pipeline pipeline BertForSequenceClassification from Cameron
+author: John Snow Labs
+name: bert_sbic_offensive_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sbic_offensive_pipeline` is a English model originally trained by Cameron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sbic_offensive_pipeline_en_5.5.0_3.0_1726781786242.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sbic_offensive_pipeline_en_5.5.0_3.0_1726781786242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_sbic_offensive_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_sbic_offensive_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sbic_offensive_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Cameron/BERT-SBIC-offensive
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-berturk_hate_speech_strength_prediction_en.md b/docs/_posts/ahmedlone127/2024-09-19-berturk_hate_speech_strength_prediction_en.md
new file mode 100644
index 00000000000000..fd779503a24142
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-berturk_hate_speech_strength_prediction_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English berturk_hate_speech_strength_prediction BertForSequenceClassification from SoDehghan
+author: John Snow Labs
+name: berturk_hate_speech_strength_prediction
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`berturk_hate_speech_strength_prediction` is a English model originally trained by SoDehghan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berturk_hate_speech_strength_prediction_en_5.5.0_3.0_1726739433905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berturk_hate_speech_strength_prediction_en_5.5.0_3.0_1726739433905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berturk_hate_speech_strength_prediction|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|415.1 MB|
+
+## References
+
+https://huggingface.co/SoDehghan/BERTurk-hate-speech-strength-prediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-berturk_hate_speech_strength_prediction_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-berturk_hate_speech_strength_prediction_pipeline_en.md
new file mode 100644
index 00000000000000..bc49259c3344b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-berturk_hate_speech_strength_prediction_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English berturk_hate_speech_strength_prediction_pipeline pipeline BertForSequenceClassification from SoDehghan
+author: John Snow Labs
+name: berturk_hate_speech_strength_prediction_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`berturk_hate_speech_strength_prediction_pipeline` is a English model originally trained by SoDehghan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berturk_hate_speech_strength_prediction_pipeline_en_5.5.0_3.0_1726739453387.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berturk_hate_speech_strength_prediction_pipeline_en_5.5.0_3.0_1726739453387.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("berturk_hate_speech_strength_prediction_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("berturk_hate_speech_strength_prediction_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berturk_hate_speech_strength_prediction_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|415.1 MB|
+
+## References
+
+https://huggingface.co/SoDehghan/BERTurk-hate-speech-strength-prediction
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bge_base_en.md b/docs/_posts/ahmedlone127/2024-09-19-bge_base_en.md
new file mode 100644
index 00000000000000..ef7aecee8f4d63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bge_base_en.md
@@ -0,0 +1,89 @@
+---
+layout: model
+title: BAAI general embedding English (bge_base)
+author: John Snow Labs
+name: bge_base
+date: 2024-09-19
+tags: [bert, bge, onnx, en, open_source, openvino]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: openvino
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+FlagEmbedding can map any text to a low-dimensional dense vector which can be used for tasks like retrieval, classification, clustering, or semantic search.
+And it also can be used in vector database for LLMs.
+
+`bge` is short for `BAAI general embedding`.
+
+| Model | Language | | query instruction for retrieval\* |
+|:-------------------------------|:--------:| :--------:| :--------:|
+| [BAAI/bge-large-en](https://huggingface.co/BAAI/bge-large-en) | English | rank **1st** in [MTEB](https://huggingface.co/spaces/mteb/leaderboard) leaderboard | `Represent this sentence for searching relevant passages: ` |
+| [BAAI/bge-base-en](https://huggingface.co/BAAI/bge-base-en) | English | rank **2nd** in [MTEB](https://huggingface.co/spaces/mteb/leaderboard) leaderboard | `Represent this sentence for searching relevant passages: ` |
+| [BAAI/bge-small-en](https://huggingface.co/BAAI/bge-small-en) | English | a small-scale model but with competitive performance | `Represent this sentence for searching relevant passages: ` |
+| [BAAI/bge-large-zh](https://huggingface.co/BAAI/bge-large-zh) | Chinese | rank **1st** in [C-MTEB](https://github.com/FlagOpen/FlagEmbedding/tree/master/C_MTEB) benchmark | `为这个句子生成表示以用于检索相关文章：` |
+| [BAAI/bge-large-zh-noinstruct](https://huggingface.co/BAAI/bge-large-zh-noinstruct) | Chinese | This model is trained without instruction, and rank **2nd** in [C-MTEB](https://github.com/FlagOpen/FlagEmbedding/tree/master/C_MTEB) benchmark | |
+| [BAAI/bge-base-zh](https://huggingface.co/BAAI/bge-base-zh) | Chinese | a base-scale model but has similar ability with `bge-large-zh` | `为这个句子生成表示以用于检索相关文章：` |
+| [BAAI/bge-small-zh](https://huggingface.co/BAAI/bge-small-zh) | Chinese | a small-scale model but with competitive performance | `为这个句子生成表示以用于检索相关文章：` |
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_en_5.5.0_3.0_1726774288305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_en_5.5.0_3.0_1726774288305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|258.7 MB|
+
+## References
+
+https://huggingface.co/BAAI/bge-base-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bluebert_pubmed_mimic_uncased_l_12_h_768_a_12_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bluebert_pubmed_mimic_uncased_l_12_h_768_a_12_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..5aebb0d464781c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bluebert_pubmed_mimic_uncased_l_12_h_768_a_12_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bluebert_pubmed_mimic_uncased_l_12_h_768_a_12_finetuned_squad_pipeline pipeline BertForQuestionAnswering from rsml
+author: John Snow Labs
+name: bluebert_pubmed_mimic_uncased_l_12_h_768_a_12_finetuned_squad_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bluebert_pubmed_mimic_uncased_l_12_h_768_a_12_finetuned_squad_pipeline` is a English model originally trained by rsml.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bluebert_pubmed_mimic_uncased_l_12_h_768_a_12_finetuned_squad_pipeline_en_5.5.0_3.0_1726765316323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bluebert_pubmed_mimic_uncased_l_12_h_768_a_12_finetuned_squad_pipeline_en_5.5.0_3.0_1726765316323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bluebert_pubmed_mimic_uncased_l_12_h_768_a_12_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bluebert_pubmed_mimic_uncased_l_12_h_768_a_12_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bluebert_pubmed_mimic_uncased_l_12_h_768_a_12_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/rsml/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_eli5_mlm_model_amalnlal_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_eli5_mlm_model_amalnlal_en.md
new file mode 100644
index 00000000000000..eaf4813a155438
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_eli5_mlm_model_amalnlal_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_amalnlal RoBertaEmbeddings from AmalNlal
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_amalnlal
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_amalnlal` is a English model originally trained by AmalNlal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_amalnlal_en_5.5.0_3.0_1726749275692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_amalnlal_en_5.5.0_3.0_1726749275692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_amalnlal|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|300.2 MB|
+
+## References
+
+https://huggingface.co/AmalNlal/my_awesome_eli5_mlm_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_eli5_mlm_model_amalnlal_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_eli5_mlm_model_amalnlal_pipeline_en.md
new file mode 100644
index 00000000000000..b7d25f0a309745
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_eli5_mlm_model_amalnlal_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_amalnlal_pipeline pipeline RoBertaEmbeddings from AmalNlal
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_amalnlal_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_amalnlal_pipeline` is a English model originally trained by AmalNlal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_amalnlal_pipeline_en_5.5.0_3.0_1726749292255.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_amalnlal_pipeline_en_5.5.0_3.0_1726749292255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_amalnlal_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_amalnlal_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_amalnlal_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|300.2 MB|
+
+## References
+
+https://huggingface.co/AmalNlal/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_eli5_mlm_model_ghostx38_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_eli5_mlm_model_ghostx38_en.md
new file mode 100644
index 00000000000000..ff6b7d5218009f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_eli5_mlm_model_ghostx38_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_ghostx38 RoBertaEmbeddings from GhostX38
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_ghostx38
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_ghostx38` is a English model originally trained by GhostX38.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_ghostx38_en_5.5.0_3.0_1726749246453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_ghostx38_en_5.5.0_3.0_1726749246453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_ghostx38|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/GhostX38/my_awesome_eli5_mlm_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_eli5_mlm_model_ghostx38_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_eli5_mlm_model_ghostx38_pipeline_en.md
new file mode 100644
index 00000000000000..a36f4b44a94643
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_eli5_mlm_model_ghostx38_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_ghostx38_pipeline pipeline RoBertaEmbeddings from GhostX38
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_ghostx38_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_ghostx38_pipeline` is a English model originally trained by GhostX38.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_ghostx38_pipeline_en_5.5.0_3.0_1726749261772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_ghostx38_pipeline_en_5.5.0_3.0_1726749261772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_ghostx38_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_ghostx38_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_ghostx38_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/GhostX38/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_abdelrahman_hassan_1_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_abdelrahman_hassan_1_en.md
new file mode 100644
index 00000000000000..17bcca9a70e09f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_abdelrahman_hassan_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_abdelrahman_hassan_1 DistilBertForSequenceClassification from Abdelrahman-Hassan-1
+author: John Snow Labs
+name: burmese_awesome_model_abdelrahman_hassan_1
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_abdelrahman_hassan_1` is a English model originally trained by Abdelrahman-Hassan-1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_abdelrahman_hassan_1_en_5.5.0_3.0_1726741001360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_abdelrahman_hassan_1_en_5.5.0_3.0_1726741001360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_abdelrahman_hassan_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Abdelrahman-Hassan-1/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_ali0123_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_ali0123_en.md
new file mode 100644
index 00000000000000..f93f588001580c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_ali0123_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_ali0123 DistilBertForSequenceClassification from ali0123
+author: John Snow Labs
+name: burmese_awesome_model_ali0123
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ali0123` is a English model originally trained by ali0123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ali0123_en_5.5.0_3.0_1726743964472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ali0123_en_5.5.0_3.0_1726743964472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_ali0123|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ali0123/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_ali0123_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_ali0123_pipeline_en.md
new file mode 100644
index 00000000000000..69cb36de83a22f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_ali0123_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_ali0123_pipeline pipeline DistilBertForSequenceClassification from ali0123
+author: John Snow Labs
+name: burmese_awesome_model_ali0123_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ali0123_pipeline` is a English model originally trained by ali0123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ali0123_pipeline_en_5.5.0_3.0_1726743979228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ali0123_pipeline_en_5.5.0_3.0_1726743979228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_ali0123_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_ali0123_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_ali0123_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ali0123/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_theoriginalmarcelo_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_theoriginalmarcelo_en.md
new file mode 100644
index 00000000000000..6d7d9b77415c91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_theoriginalmarcelo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_theoriginalmarcelo DistilBertForSequenceClassification from TheOriginalMarcelo
+author: John Snow Labs
+name: burmese_awesome_model_theoriginalmarcelo
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_theoriginalmarcelo` is a English model originally trained by TheOriginalMarcelo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_theoriginalmarcelo_en_5.5.0_3.0_1726743936128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_theoriginalmarcelo_en_5.5.0_3.0_1726743936128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_theoriginalmarcelo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TheOriginalMarcelo/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_yangezheng_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_yangezheng_en.md
new file mode 100644
index 00000000000000..9a52ef2add3726
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_yangezheng_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_yangezheng DistilBertForSequenceClassification from yangezheng
+author: John Snow Labs
+name: burmese_awesome_model_yangezheng
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_yangezheng` is a English model originally trained by yangezheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yangezheng_en_5.5.0_3.0_1726743067553.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yangezheng_en_5.5.0_3.0_1726743067553.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_yangezheng|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yangezheng/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_yangezheng_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_yangezheng_pipeline_en.md
new file mode 100644
index 00000000000000..a435aacfc6f7f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_yangezheng_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_yangezheng_pipeline pipeline DistilBertForSequenceClassification from yangezheng
+author: John Snow Labs
+name: burmese_awesome_model_yangezheng_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_yangezheng_pipeline` is a English model originally trained by yangezheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yangezheng_pipeline_en_5.5.0_3.0_1726743080606.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yangezheng_pipeline_en_5.5.0_3.0_1726743080606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_yangezheng_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_yangezheng_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_yangezheng_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yangezheng/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_yjoonjang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_yjoonjang_pipeline_en.md
new file mode 100644
index 00000000000000..4490be06a4cd64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_yjoonjang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_yjoonjang_pipeline pipeline DistilBertForSequenceClassification from yjoonjang
+author: John Snow Labs
+name: burmese_awesome_model_yjoonjang_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_yjoonjang_pipeline` is a English model originally trained by yjoonjang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yjoonjang_pipeline_en_5.5.0_3.0_1726704474026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yjoonjang_pipeline_en_5.5.0_3.0_1726704474026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_yjoonjang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_yjoonjang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_yjoonjang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yjoonjang/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_qa_model_lwq1010_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_qa_model_lwq1010_en.md
new file mode 100644
index 00000000000000..99dfcde58947a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_qa_model_lwq1010_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_lwq1010 DistilBertForQuestionAnswering from lwq1010
+author: John Snow Labs
+name: burmese_awesome_qa_model_lwq1010
+date: 2024-09-19
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_lwq1010` is a English model originally trained by lwq1010.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_lwq1010_en_5.5.0_3.0_1726748546482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_lwq1010_en_5.5.0_3.0_1726748546482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_lwq1010|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/lwq1010/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_qa_model_lwq1010_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_qa_model_lwq1010_pipeline_en.md
new file mode 100644
index 00000000000000..8beb58345a9fa0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_qa_model_lwq1010_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_lwq1010_pipeline pipeline DistilBertForQuestionAnswering from lwq1010
+author: John Snow Labs
+name: burmese_awesome_qa_model_lwq1010_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_lwq1010_pipeline` is a English model originally trained by lwq1010.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_lwq1010_pipeline_en_5.5.0_3.0_1726748558589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_lwq1010_pipeline_en_5.5.0_3.0_1726748558589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_lwq1010_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_lwq1010_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_lwq1010_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/lwq1010/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_distillbert_model2_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_distillbert_model2_en.md
new file mode 100644
index 00000000000000..a347b93fdc8656
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_distillbert_model2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_distillbert_model2 DistilBertForSequenceClassification from allagmaroua
+author: John Snow Labs
+name: burmese_distillbert_model2
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_distillbert_model2` is a English model originally trained by allagmaroua.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_distillbert_model2_en_5.5.0_3.0_1726742666499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_distillbert_model2_en_5.5.0_3.0_1726742666499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_distillbert_model2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/allagmaroua/my-distillbert-model2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_distillbert_model2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_distillbert_model2_pipeline_en.md
new file mode 100644
index 00000000000000..6b4673ee5e6571
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_distillbert_model2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_distillbert_model2_pipeline pipeline DistilBertForSequenceClassification from allagmaroua
+author: John Snow Labs
+name: burmese_distillbert_model2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_distillbert_model2_pipeline` is a English model originally trained by allagmaroua.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_distillbert_model2_pipeline_en_5.5.0_3.0_1726742679077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_distillbert_model2_pipeline_en_5.5.0_3.0_1726742679077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_distillbert_model2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_distillbert_model2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_distillbert_model2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/allagmaroua/my-distillbert-model2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_model_mahikajain_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_model_mahikajain_en.md
new file mode 100644
index 00000000000000..18b8deca799d1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_model_mahikajain_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_model_mahikajain DistilBertForSequenceClassification from Mahikajain
+author: John Snow Labs
+name: burmese_model_mahikajain
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_mahikajain` is a English model originally trained by Mahikajain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_mahikajain_en_5.5.0_3.0_1726704417091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_mahikajain_en_5.5.0_3.0_1726704417091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_model_mahikajain|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mahikajain/my_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_text_classification_model_vonewman_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_text_classification_model_vonewman_en.md
new file mode 100644
index 00000000000000..b37b1868eb2f55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_text_classification_model_vonewman_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_text_classification_model_vonewman DistilBertForSequenceClassification from vonewman
+author: John Snow Labs
+name: burmese_text_classification_model_vonewman
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_text_classification_model_vonewman` is a English model originally trained by vonewman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_text_classification_model_vonewman_en_5.5.0_3.0_1726744076445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_text_classification_model_vonewman_en_5.5.0_3.0_1726744076445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_text_classification_model_vonewman|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vonewman/my_text_classification_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_text_classification_model_vonewman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_text_classification_model_vonewman_pipeline_en.md
new file mode 100644
index 00000000000000..55b7b07cc625c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_text_classification_model_vonewman_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_text_classification_model_vonewman_pipeline pipeline DistilBertForSequenceClassification from vonewman
+author: John Snow Labs
+name: burmese_text_classification_model_vonewman_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_text_classification_model_vonewman_pipeline` is a English model originally trained by vonewman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_text_classification_model_vonewman_pipeline_en_5.5.0_3.0_1726744088717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_text_classification_model_vonewman_pipeline_en_5.5.0_3.0_1726744088717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_text_classification_model_vonewman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_text_classification_model_vonewman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_text_classification_model_vonewman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vonewman/my_text_classification_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-cat_ner_spanish_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-cat_ner_spanish_2_pipeline_en.md
new file mode 100644
index 00000000000000..b4d387709bb89d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-cat_ner_spanish_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cat_ner_spanish_2_pipeline pipeline RoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_ner_spanish_2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_ner_spanish_2_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_ner_spanish_2_pipeline_en_5.5.0_3.0_1726730551067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_ner_spanish_2_pipeline_en_5.5.0_3.0_1726730551067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cat_ner_spanish_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cat_ner_spanish_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_ner_spanish_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|462.3 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-ner-es-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-category_1_2_categories_distilbert_base_uncased_v2_en.md b/docs/_posts/ahmedlone127/2024-09-19-category_1_2_categories_distilbert_base_uncased_v2_en.md
new file mode 100644
index 00000000000000..912d614822d581
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-category_1_2_categories_distilbert_base_uncased_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English category_1_2_categories_distilbert_base_uncased_v2 DistilBertForSequenceClassification from chuuhtetnaing
+author: John Snow Labs
+name: category_1_2_categories_distilbert_base_uncased_v2
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`category_1_2_categories_distilbert_base_uncased_v2` is a English model originally trained by chuuhtetnaing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/category_1_2_categories_distilbert_base_uncased_v2_en_5.5.0_3.0_1726744159808.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/category_1_2_categories_distilbert_base_uncased_v2_en_5.5.0_3.0_1726744159808.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|category_1_2_categories_distilbert_base_uncased_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chuuhtetnaing/category-1-2-categories-distilbert-base-uncased-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-category_1_2_categories_distilbert_base_uncased_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-category_1_2_categories_distilbert_base_uncased_v2_pipeline_en.md
new file mode 100644
index 00000000000000..8b5fc7f70af380
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-category_1_2_categories_distilbert_base_uncased_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English category_1_2_categories_distilbert_base_uncased_v2_pipeline pipeline DistilBertForSequenceClassification from chuuhtetnaing
+author: John Snow Labs
+name: category_1_2_categories_distilbert_base_uncased_v2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`category_1_2_categories_distilbert_base_uncased_v2_pipeline` is a English model originally trained by chuuhtetnaing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/category_1_2_categories_distilbert_base_uncased_v2_pipeline_en_5.5.0_3.0_1726744172456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/category_1_2_categories_distilbert_base_uncased_v2_pipeline_en_5.5.0_3.0_1726744172456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("category_1_2_categories_distilbert_base_uncased_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("category_1_2_categories_distilbert_base_uncased_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|category_1_2_categories_distilbert_base_uncased_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chuuhtetnaing/category-1-2-categories-distilbert-base-uncased-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-19-category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_pipeline_xx.md
new file mode 100644
index 00000000000000..62978bb5aa6494
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_pipeline pipeline DistilBertForSequenceClassification from chuuhtetnaing
+author: John Snow Labs
+name: category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_pipeline
+date: 2024-09-19
+tags: [xx, open_source, pipeline, onnx]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_pipeline` is a Multilingual model originally trained by chuuhtetnaing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_pipeline_xx_5.5.0_3.0_1726740943343.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_pipeline_xx_5.5.0_3.0_1726740943343.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/chuuhtetnaing/category-1-delivery-cancellation-distilbert-base-multilingual-cased-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_xx.md b/docs/_posts/ahmedlone127/2024-09-19-category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_xx.md
new file mode 100644
index 00000000000000..16b7da4d850f9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1 DistilBertForSequenceClassification from chuuhtetnaing
+author: John Snow Labs
+name: category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1
+date: 2024-09-19
+tags: [xx, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1` is a Multilingual model originally trained by chuuhtetnaing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_xx_5.5.0_3.0_1726740919188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1_xx_5.5.0_3.0_1726740919188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|category_1_delivery_cancellation_distilbert_base_multilingual_cased_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/chuuhtetnaing/category-1-delivery-cancellation-distilbert-base-multilingual-cased-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-classfication_bert_en.md b/docs/_posts/ahmedlone127/2024-09-19-classfication_bert_en.md
new file mode 100644
index 00000000000000..292b6fff909902
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-classfication_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English classfication_bert DistilBertForSequenceClassification from Svetlana0303
+author: John Snow Labs
+name: classfication_bert
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classfication_bert` is a English model originally trained by Svetlana0303.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classfication_bert_en_5.5.0_3.0_1726740652142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classfication_bert_en_5.5.0_3.0_1726740652142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classfication_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Svetlana0303/Classfication_BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-classfication_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-classfication_bert_pipeline_en.md
new file mode 100644
index 00000000000000..58cdd926583029
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-classfication_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English classfication_bert_pipeline pipeline DistilBertForSequenceClassification from Svetlana0303
+author: John Snow Labs
+name: classfication_bert_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classfication_bert_pipeline` is a English model originally trained by Svetlana0303.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classfication_bert_pipeline_en_5.5.0_3.0_1726740665018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classfication_bert_pipeline_en_5.5.0_3.0_1726740665018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("classfication_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("classfication_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classfication_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Svetlana0303/Classfication_BERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-code_search_trained_base_random_trimmed_with_g_2_en.md b/docs/_posts/ahmedlone127/2024-09-19-code_search_trained_base_random_trimmed_with_g_2_en.md
new file mode 100644
index 00000000000000..98c1133bf05da6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-code_search_trained_base_random_trimmed_with_g_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English code_search_trained_base_random_trimmed_with_g_2 RoBertaForTokenClassification from DianaIulia
+author: John Snow Labs
+name: code_search_trained_base_random_trimmed_with_g_2
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`code_search_trained_base_random_trimmed_with_g_2` is a English model originally trained by DianaIulia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/code_search_trained_base_random_trimmed_with_g_2_en_5.5.0_3.0_1726731453717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/code_search_trained_base_random_trimmed_with_g_2_en_5.5.0_3.0_1726731453717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|code_search_trained_base_random_trimmed_with_g_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DianaIulia/code_search_trained_base_random_trimmed_with_g_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-code_search_trained_base_random_trimmed_with_g_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-code_search_trained_base_random_trimmed_with_g_2_pipeline_en.md
new file mode 100644
index 00000000000000..be18addf43118c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-code_search_trained_base_random_trimmed_with_g_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English code_search_trained_base_random_trimmed_with_g_2_pipeline pipeline RoBertaForTokenClassification from DianaIulia
+author: John Snow Labs
+name: code_search_trained_base_random_trimmed_with_g_2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`code_search_trained_base_random_trimmed_with_g_2_pipeline` is a English model originally trained by DianaIulia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/code_search_trained_base_random_trimmed_with_g_2_pipeline_en_5.5.0_3.0_1726731475451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/code_search_trained_base_random_trimmed_with_g_2_pipeline_en_5.5.0_3.0_1726731475451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("code_search_trained_base_random_trimmed_with_g_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("code_search_trained_base_random_trimmed_with_g_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|code_search_trained_base_random_trimmed_with_g_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DianaIulia/code_search_trained_base_random_trimmed_with_g_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-cold_fusion_itr25_seed1_en.md b/docs/_posts/ahmedlone127/2024-09-19-cold_fusion_itr25_seed1_en.md
new file mode 100644
index 00000000000000..09c6113364d40e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-cold_fusion_itr25_seed1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_itr25_seed1 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr25_seed1
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr25_seed1` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr25_seed1_en_5.5.0_3.0_1726726247520.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr25_seed1_en_5.5.0_3.0_1726726247520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr25_seed1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.0 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr25-seed1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-conflibert_scr_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-conflibert_scr_cased_pipeline_en.md
new file mode 100644
index 00000000000000..12254a4794c18d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-conflibert_scr_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English conflibert_scr_cased_pipeline pipeline BertEmbeddings from snowood1
+author: John Snow Labs
+name: conflibert_scr_cased_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`conflibert_scr_cased_pipeline` is a English model originally trained by snowood1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/conflibert_scr_cased_pipeline_en_5.5.0_3.0_1726717441157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/conflibert_scr_cased_pipeline_en_5.5.0_3.0_1726717441157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("conflibert_scr_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("conflibert_scr_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|conflibert_scr_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/snowood1/ConfliBERT-scr-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-cosent_similarity_text2vec_en.md b/docs/_posts/ahmedlone127/2024-09-19-cosent_similarity_text2vec_en.md
new file mode 100644
index 00000000000000..fcd59e4be9433e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-cosent_similarity_text2vec_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cosent_similarity_text2vec BertForSequenceClassification from xuanye
+author: John Snow Labs
+name: cosent_similarity_text2vec
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cosent_similarity_text2vec` is a English model originally trained by xuanye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cosent_similarity_text2vec_en_5.5.0_3.0_1726736079430.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cosent_similarity_text2vec_en_5.5.0_3.0_1726736079430.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cosent_similarity_text2vec|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/xuanye/cosent-similarity-text2vec
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-cosent_similarity_text2vec_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-cosent_similarity_text2vec_pipeline_en.md
new file mode 100644
index 00000000000000..9c4b63143d10c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-cosent_similarity_text2vec_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cosent_similarity_text2vec_pipeline pipeline BertForSequenceClassification from xuanye
+author: John Snow Labs
+name: cosent_similarity_text2vec_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cosent_similarity_text2vec_pipeline` is a English model originally trained by xuanye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cosent_similarity_text2vec_pipeline_en_5.5.0_3.0_1726736097992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cosent_similarity_text2vec_pipeline_en_5.5.0_3.0_1726736097992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cosent_similarity_text2vec_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cosent_similarity_text2vec_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cosent_similarity_text2vec_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/xuanye/cosent-similarity-text2vec
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-czech_roberta_base_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-czech_roberta_base_1_pipeline_en.md
new file mode 100644
index 00000000000000..89945bf1b9ad86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-czech_roberta_base_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English czech_roberta_base_1_pipeline pipeline RoBertaForSequenceClassification from Adammz
+author: John Snow Labs
+name: czech_roberta_base_1_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`czech_roberta_base_1_pipeline` is a English model originally trained by Adammz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/czech_roberta_base_1_pipeline_en_5.5.0_3.0_1726732644855.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/czech_roberta_base_1_pipeline_en_5.5.0_3.0_1726732644855.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("czech_roberta_base_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("czech_roberta_base_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|czech_roberta_base_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.6 MB|
+
+## References
+
+https://huggingface.co/Adammz/cs_roberta_base-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2024-09-19-danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_en.md
new file mode 100644
index 00000000000000..9ad79595d5d55d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis RoBertaForSequenceClassification from NLP-FEUP
+author: John Snow Labs
+name: danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis` is a English model originally trained by NLP-FEUP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_en_5.5.0_3.0_1726750511162.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_en_5.5.0_3.0_1726750511162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/NLP-FEUP/DA-FT-mrm8488-distilroberta-finetuned-financial-news-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline_en.md
new file mode 100644
index 00000000000000..987411115d5ff8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline pipeline RoBertaForSequenceClassification from NLP-FEUP
+author: John Snow Labs
+name: danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline` is a English model originally trained by NLP-FEUP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline_en_5.5.0_3.0_1726750526130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline_en_5.5.0_3.0_1726750526130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|danish_ft_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.1 MB|
+
+## References
+
+https://huggingface.co/NLP-FEUP/DA-FT-mrm8488-distilroberta-finetuned-financial-news-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distalbert_arabic_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distalbert_arabic_classification_pipeline_en.md
new file mode 100644
index 00000000000000..684625b0fb7425
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distalbert_arabic_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distalbert_arabic_classification_pipeline pipeline DistilBertForSequenceClassification from abd95
+author: John Snow Labs
+name: distalbert_arabic_classification_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distalbert_arabic_classification_pipeline` is a English model originally trained by abd95.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distalbert_arabic_classification_pipeline_en_5.5.0_3.0_1726763481633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distalbert_arabic_classification_pipeline_en_5.5.0_3.0_1726763481633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distalbert_arabic_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distalbert_arabic_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distalbert_arabic_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abd95/distalbert-ar-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distiberthatespeech_en.md b/docs/_posts/ahmedlone127/2024-09-19-distiberthatespeech_en.md
new file mode 100644
index 00000000000000..0da20c07007e13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distiberthatespeech_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distiberthatespeech DistilBertForSequenceClassification from GalMargo
+author: John Snow Labs
+name: distiberthatespeech
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distiberthatespeech` is a English model originally trained by GalMargo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distiberthatespeech_en_5.5.0_3.0_1726743424388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distiberthatespeech_en_5.5.0_3.0_1726743424388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distiberthatespeech|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/GalMargo/DistiBERTHateSpeech
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distil_bert_v3_en.md b/docs/_posts/ahmedlone127/2024-09-19-distil_bert_v3_en.md
new file mode 100644
index 00000000000000..f917b24e8d40b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distil_bert_v3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distil_bert_v3 DistilBertForSequenceClassification from KayraAksit
+author: John Snow Labs
+name: distil_bert_v3
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_bert_v3` is a English model originally trained by KayraAksit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_bert_v3_en_5.5.0_3.0_1726744174976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_bert_v3_en_5.5.0_3.0_1726744174976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_70k_qa_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Vasanth/distilbert_70k_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_cased_kallidavidson_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_cased_kallidavidson_pipeline_en.md
new file mode 100644
index 00000000000000..065d69f14859c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_cased_kallidavidson_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_cased_kallidavidson_pipeline pipeline DistilBertForQuestionAnswering from kallidavidson
+author: John Snow Labs
+name: distilbert_base_cased_kallidavidson_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_kallidavidson_pipeline` is a English model originally trained by kallidavidson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_kallidavidson_pipeline_en_5.5.0_3.0_1726766683403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_kallidavidson_pipeline_en_5.5.0_3.0_1726766683403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_cased_kallidavidson_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_cased_kallidavidson_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_kallidavidson_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/kallidavidson/distilbert-base-cased
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_xx.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_xx.md
new file mode 100644
index 00000000000000..fc62e9fdaa9b26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp DistilBertForSequenceClassification from rogelioplatt
+author: John Snow Labs
+name: distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp
+date: 2024-09-19
+tags: [xx, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp` is a Multilingual model originally trained by rogelioplatt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_xx_5.5.0_3.0_1726764137086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_xx_5.5.0_3.0_1726764137086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/rogelioplatt/distilbert-base-multilingual-cased-Actitud_de_tener_la_razon_Esp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_multilingual_cased_regression_finetuned_news_all_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_multilingual_cased_regression_finetuned_news_all_pipeline_xx.md
new file mode 100644
index 00000000000000..f1ff925a15381b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_multilingual_cased_regression_finetuned_news_all_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual distilbert_base_multilingual_cased_regression_finetuned_news_all_pipeline pipeline DistilBertForSequenceClassification from Mou11209203
+author: John Snow Labs
+name: distilbert_base_multilingual_cased_regression_finetuned_news_all_pipeline
+date: 2024-09-19
+tags: [xx, open_source, pipeline, onnx]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_regression_finetuned_news_all_pipeline` is a Multilingual model originally trained by Mou11209203.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_regression_finetuned_news_all_pipeline_xx_5.5.0_3.0_1726743627019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_regression_finetuned_news_all_pipeline_xx_5.5.0_3.0_1726743627019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_multilingual_cased_regression_finetuned_news_all_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_multilingual_cased_regression_finetuned_news_all_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_regression_finetuned_news_all_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|507.7 MB|
+
+## References
+
+https://huggingface.co/Mou11209203/distilbert-base-multilingual-cased_regression_finetuned_news_all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_thai_cased_finetuned_sentiment_pipeline_th.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_thai_cased_finetuned_sentiment_pipeline_th.md
new file mode 100644
index 00000000000000..f325a193ff1d5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_thai_cased_finetuned_sentiment_pipeline_th.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Thai distilbert_base_thai_cased_finetuned_sentiment_pipeline pipeline DistilBertForSequenceClassification from FlukeTJ
+author: John Snow Labs
+name: distilbert_base_thai_cased_finetuned_sentiment_pipeline
+date: 2024-09-19
+tags: [th, open_source, pipeline, onnx]
+task: Text Classification
+language: th
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_thai_cased_finetuned_sentiment_pipeline` is a Thai model originally trained by FlukeTJ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_thai_cased_finetuned_sentiment_pipeline_th_5.5.0_3.0_1726763719536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_thai_cased_finetuned_sentiment_pipeline_th_5.5.0_3.0_1726763719536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_thai_cased_finetuned_sentiment_pipeline", lang = "th")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_thai_cased_finetuned_sentiment_pipeline", lang = "th")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_thai_cased_finetuned_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|th|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/FlukeTJ/distilbert-base-thai-cased-finetuned-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_findtuned_emotion_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_findtuned_emotion_pipeline_en.md
new file mode 100644
index 00000000000000..5a15ce4b9f5e3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_findtuned_emotion_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_findtuned_emotion_pipeline pipeline DistilBertForSequenceClassification from Tkag
+author: John Snow Labs
+name: distilbert_base_uncased_findtuned_emotion_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_findtuned_emotion_pipeline` is a English model originally trained by Tkag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_findtuned_emotion_pipeline_en_5.5.0_3.0_1726742810164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_findtuned_emotion_pipeline_en_5.5.0_3.0_1726742810164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_findtuned_emotion_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_findtuned_emotion_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_findtuned_emotion_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Tkag/distilbert-base-uncased-findtuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_adl_hw1_wennycooper_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_adl_hw1_wennycooper_en.md
new file mode 100644
index 00000000000000..b0b9c4b160eb1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_adl_hw1_wennycooper_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_adl_hw1_wennycooper DistilBertForSequenceClassification from wennycooper
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_adl_hw1_wennycooper
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_wennycooper` is a English model originally trained by wennycooper.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_wennycooper_en_5.5.0_3.0_1726743678732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_wennycooper_en_5.5.0_3.0_1726743678732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_wennycooper|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/wennycooper/distilbert-base-uncased-finetuned-adl_hw1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_amazon_food_reviews_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_amazon_food_reviews_en.md
new file mode 100644
index 00000000000000..7ff4841354a654
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_amazon_food_reviews_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_amazon_food_reviews DistilBertForSequenceClassification from jhan21
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_amazon_food_reviews
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_amazon_food_reviews` is a English model originally trained by jhan21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_amazon_food_reviews_en_5.5.0_3.0_1726740988900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_amazon_food_reviews_en_5.5.0_3.0_1726740988900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_amazon_food_reviews|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jhan21/distilbert-base-uncased-finetuned-amazon-food-reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_amazon_food_reviews_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_amazon_food_reviews_pipeline_en.md
new file mode 100644
index 00000000000000..473bd5e36b1a16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_amazon_food_reviews_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_amazon_food_reviews_pipeline pipeline DistilBertForSequenceClassification from jhan21
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_amazon_food_reviews_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_amazon_food_reviews_pipeline` is a English model originally trained by jhan21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_amazon_food_reviews_pipeline_en_5.5.0_3.0_1726741001390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_amazon_food_reviews_pipeline_en_5.5.0_3.0_1726741001390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_amazon_food_reviews_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_amazon_food_reviews_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_amazon_food_reviews_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jhan21/distilbert-base-uncased-finetuned-amazon-food-reviews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_elyziumm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_elyziumm_pipeline_en.md
new file mode 100644
index 00000000000000..5b57627aa1b53f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_elyziumm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_elyziumm_pipeline pipeline DistilBertForSequenceClassification from elyziumm
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_elyziumm_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_elyziumm_pipeline` is a English model originally trained by elyziumm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_elyziumm_pipeline_en_5.5.0_3.0_1726742811286.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_elyziumm_pipeline_en_5.5.0_3.0_1726742811286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_elyziumm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_elyziumm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_elyziumm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/elyziumm/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_jbgao_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_jbgao_en.md
new file mode 100644
index 00000000000000..fba13b4cdd5ed7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_jbgao_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_jbgao DistilBertForSequenceClassification from jbgao
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_jbgao
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_jbgao` is a English model originally trained by jbgao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jbgao_en_5.5.0_3.0_1726742410997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jbgao_en_5.5.0_3.0_1726742410997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_jbgao|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jbgao/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_document_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_document_en.md
new file mode 100644
index 00000000000000..9421c6995dd040
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_document_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_document DistilBertForSequenceClassification from aldolgzn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_document
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_document` is a English model originally trained by aldolgzn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_document_en_5.5.0_3.0_1726741343122.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_document_en_5.5.0_3.0_1726741343122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_document|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aldolgzn/distilbert-base-uncased-finetuned-document
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_document_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_document_pipeline_en.md
new file mode 100644
index 00000000000000..84355da34c6304
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_document_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_document_pipeline pipeline DistilBertForSequenceClassification from aldolgzn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_document_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_document_pipeline` is a English model originally trained by aldolgzn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_document_pipeline_en_5.5.0_3.0_1726741355823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_document_pipeline_en_5.5.0_3.0_1726741355823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_document_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_document_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_document_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aldolgzn/distilbert-base-uncased-finetuned-document
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emo_une_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emo_une_en.md
new file mode 100644
index 00000000000000..d72e0ea077c48c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emo_une_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emo_une DistilBertForSequenceClassification from Gregorig
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emo_une
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emo_une` is a English model originally trained by Gregorig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emo_une_en_5.5.0_3.0_1726743144618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emo_une_en_5.5.0_3.0_1726743144618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emo_une|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Gregorig/distilbert-base-uncased-finetuned-emo_une
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_ayushvaish2000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_ayushvaish2000_pipeline_en.md
new file mode 100644
index 00000000000000..7cf7fa6b29d46c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_ayushvaish2000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ayushvaish2000_pipeline pipeline DistilBertForSequenceClassification from ayushvaish2000
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ayushvaish2000_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ayushvaish2000_pipeline` is a English model originally trained by ayushvaish2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ayushvaish2000_pipeline_en_5.5.0_3.0_1726742590675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ayushvaish2000_pipeline_en_5.5.0_3.0_1726742590675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_ayushvaish2000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_ayushvaish2000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ayushvaish2000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ayushvaish2000/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_bingyizh_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_bingyizh_en.md
new file mode 100644
index 00000000000000..26a313a3f5c0c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_bingyizh_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_bingyizh DistilBertForSequenceClassification from bingyizh
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_bingyizh
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bingyizh` is a English model originally trained by bingyizh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bingyizh_en_5.5.0_3.0_1726704872446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bingyizh_en_5.5.0_3.0_1726704872446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_bingyizh|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bingyizh/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_chethu_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_chethu_en.md
new file mode 100644
index 00000000000000..e79139894fd750
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_chethu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_chethu DistilBertForSequenceClassification from chethu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_chethu
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_chethu` is a English model originally trained by chethu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_chethu_en_5.5.0_3.0_1726741348783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_chethu_en_5.5.0_3.0_1726741348783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_chethu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chethu/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_chethu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_chethu_pipeline_en.md
new file mode 100644
index 00000000000000..50694ca4a38b0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_chethu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_chethu_pipeline pipeline DistilBertForSequenceClassification from chethu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_chethu_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_chethu_pipeline` is a English model originally trained by chethu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_chethu_pipeline_en_5.5.0_3.0_1726741361190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_chethu_pipeline_en_5.5.0_3.0_1726741361190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_chethu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_chethu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_chethu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chethu/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_fyl1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_fyl1_pipeline_en.md
new file mode 100644
index 00000000000000..bee7678d36502b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_fyl1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_fyl1_pipeline pipeline DistilBertForSequenceClassification from fyl1
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_fyl1_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_fyl1_pipeline` is a English model originally trained by fyl1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fyl1_pipeline_en_5.5.0_3.0_1726743961878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fyl1_pipeline_en_5.5.0_3.0_1726743961878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_fyl1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_fyl1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_fyl1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fyl1/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_lch34677_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_lch34677_pipeline_en.md
new file mode 100644
index 00000000000000..dbdd4993677d34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_lch34677_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_lch34677_pipeline pipeline DistilBertForSequenceClassification from lch34677
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_lch34677_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lch34677_pipeline` is a English model originally trained by lch34677.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lch34677_pipeline_en_5.5.0_3.0_1726744084012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lch34677_pipeline_en_5.5.0_3.0_1726744084012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_lch34677_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_lch34677_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_lch34677_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lch34677/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_mile48_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_mile48_pipeline_en.md
new file mode 100644
index 00000000000000..5eed73dd78b00e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_mile48_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_mile48_pipeline pipeline DistilBertForSequenceClassification from mile48
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_mile48_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mile48_pipeline` is a English model originally trained by mile48.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mile48_pipeline_en_5.5.0_3.0_1726743775971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mile48_pipeline_en_5.5.0_3.0_1726743775971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_mile48_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_mile48_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_mile48_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mile48/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_qinkeith_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_qinkeith_en.md
new file mode 100644
index 00000000000000..3b7d656d737a5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_qinkeith_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_qinkeith DistilBertForSequenceClassification from qinkeith
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_qinkeith
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_qinkeith` is a English model originally trained by qinkeith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_qinkeith_en_5.5.0_3.0_1726742951283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_qinkeith_en_5.5.0_3.0_1726742951283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_qinkeith|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/qinkeith/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_qinkeith_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_qinkeith_pipeline_en.md
new file mode 100644
index 00000000000000..6186d271e8b459
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_qinkeith_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_qinkeith_pipeline pipeline DistilBertForSequenceClassification from qinkeith
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_qinkeith_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_qinkeith_pipeline` is a English model originally trained by qinkeith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_qinkeith_pipeline_en_5.5.0_3.0_1726742963995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_qinkeith_pipeline_en_5.5.0_3.0_1726742963995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_qinkeith_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_qinkeith_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_qinkeith_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/qinkeith/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_rosa7536_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_rosa7536_en.md
new file mode 100644
index 00000000000000..c5466bab0c7f3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_rosa7536_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_rosa7536 DistilBertForSequenceClassification from rosa7536
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_rosa7536
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rosa7536` is a English model originally trained by rosa7536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rosa7536_en_5.5.0_3.0_1726742410275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rosa7536_en_5.5.0_3.0_1726742410275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_rosa7536|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rosa7536/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_rosa7536_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_rosa7536_pipeline_en.md
new file mode 100644
index 00000000000000..2b81be3c80ff8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_rosa7536_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_rosa7536_pipeline pipeline DistilBertForSequenceClassification from rosa7536
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_rosa7536_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rosa7536_pipeline` is a English model originally trained by rosa7536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rosa7536_pipeline_en_5.5.0_3.0_1726742426889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rosa7536_pipeline_en_5.5.0_3.0_1726742426889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_rosa7536_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_rosa7536_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_rosa7536_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rosa7536/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_sayanote_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_sayanote_en.md
new file mode 100644
index 00000000000000..0ac2df2d175fd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_sayanote_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sayanote DistilBertForSequenceClassification from Sayanote
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sayanote
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sayanote` is a English model originally trained by Sayanote.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sayanote_en_5.5.0_3.0_1726743542737.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sayanote_en_5.5.0_3.0_1726743542737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sayanote|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sayanote/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_en.md
new file mode 100644
index 00000000000000..6c88b76fde909f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi DistilBertForSequenceClassification from teukuyusransyahtandi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi` is a English model originally trained by teukuyusransyahtandi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_en_5.5.0_3.0_1726742690048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_en_5.5.0_3.0_1726742690048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/teukuyusransyahtandi/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_pipeline_en.md
new file mode 100644
index 00000000000000..19ee357ba2fcb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_pipeline pipeline DistilBertForSequenceClassification from teukuyusransyahtandi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_pipeline` is a English model originally trained by teukuyusransyahtandi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_pipeline_en_5.5.0_3.0_1726742702460.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_pipeline_en_5.5.0_3.0_1726742702460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_teukuyusransyahtandi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/teukuyusransyahtandi/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_ukaizokuo_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_ukaizokuo_en.md
new file mode 100644
index 00000000000000..8d2532ed9332d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_ukaizokuo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ukaizokuo DistilBertForSequenceClassification from UKaizokuO
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ukaizokuo
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ukaizokuo` is a English model originally trained by UKaizokuO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ukaizokuo_en_5.5.0_3.0_1726742772817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ukaizokuo_en_5.5.0_3.0_1726742772817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ukaizokuo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/UKaizokuO/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_ukaizokuo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_ukaizokuo_pipeline_en.md
new file mode 100644
index 00000000000000..222cb3f5d3001f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_ukaizokuo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ukaizokuo_pipeline pipeline DistilBertForSequenceClassification from UKaizokuO
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ukaizokuo_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ukaizokuo_pipeline` is a English model originally trained by UKaizokuO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ukaizokuo_pipeline_en_5.5.0_3.0_1726742785837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ukaizokuo_pipeline_en_5.5.0_3.0_1726742785837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_ukaizokuo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_ukaizokuo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ukaizokuo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/UKaizokuO/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_en.md
new file mode 100644
index 00000000000000..b1f065d9be2f94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2 DistilBertForSequenceClassification from BanUrsus
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2` is a English model originally trained by BanUrsus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_en_5.5.0_3.0_1726719393404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_en_5.5.0_3.0_1726719393404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BanUrsus/distilbert-base-uncased-finetuned-imdb-classifier_nlp-course-chapter7-section2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_en.md
new file mode 100644
index 00000000000000..15ec55633cafe7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_nlp_letters DistilBertForSequenceClassification from ben-yu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_nlp_letters
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_nlp_letters` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_en_5.5.0_3.0_1726719059337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_en_5.5.0_3.0_1726719059337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_nlp_letters|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ben-yu/distilbert-base-uncased-finetuned-nlp-letters
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_en.md
new file mode 100644
index 00000000000000..f533825b3f583f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted DistilBertForSequenceClassification from ben-yu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_en_5.5.0_3.0_1726740796195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_en_5.5.0_3.0_1726740796195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ben-yu/distilbert-base-uncased-finetuned-nlp-letters-full_text-pronouns-class-weighted
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_pipeline_en.md
new file mode 100644
index 00000000000000..f479ce91322628
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_pipeline pipeline DistilBertForSequenceClassification from ben-yu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_pipeline` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_pipeline_en_5.5.0_3.0_1726740808742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_pipeline_en_5.5.0_3.0_1726740808742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_nlp_letters_full_text_pronouns_class_weighted_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ben-yu/distilbert-base-uncased-finetuned-nlp-letters-full_text-pronouns-class-weighted
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_pipeline_en.md
new file mode 100644
index 00000000000000..952de61379de22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_pipeline pipeline DistilBertForSequenceClassification from ben-yu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_pipeline` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_pipeline_en_5.5.0_3.0_1726742994679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_pipeline_en_5.5.0_3.0_1726742994679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ben-yu/distilbert-base-uncased-finetuned-nlp-letters-TEXT-all-class-weighted
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_sanskrit_saskta_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_sanskrit_saskta_en.md
new file mode 100644
index 00000000000000..62631af6efd902
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_sanskrit_saskta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sanskrit_saskta DistilBertForSequenceClassification from datht
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sanskrit_saskta
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sanskrit_saskta` is a English model originally trained by datht.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sanskrit_saskta_en_5.5.0_3.0_1726704802171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sanskrit_saskta_en_5.5.0_3.0_1726704802171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sanskrit_saskta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/datht/distilbert-base-uncased-finetuned-SA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_amna1015_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_amna1015_pipeline_en.md
new file mode 100644
index 00000000000000..e60e2ab5290769
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_amna1015_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_amna1015_pipeline pipeline DistilBertForQuestionAnswering from Amna1015
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_amna1015_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_amna1015_pipeline` is a English model originally trained by Amna1015.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_amna1015_pipeline_en_5.5.0_3.0_1726727573831.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_amna1015_pipeline_en_5.5.0_3.0_1726727573831.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_amna1015_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_amna1015_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_amna1015_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Amna1015/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_kiwihead15_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_kiwihead15_pipeline_en.md
new file mode 100644
index 00000000000000..188f55ba1ea565
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_kiwihead15_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_kiwihead15_pipeline pipeline DistilBertForQuestionAnswering from Kiwihead15
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_kiwihead15_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_kiwihead15_pipeline` is a English model originally trained by Kiwihead15.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_kiwihead15_pipeline_en_5.5.0_3.0_1726766775542.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_kiwihead15_pipeline_en_5.5.0_3.0_1726766775542.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_kiwihead15_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_kiwihead15_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_kiwihead15_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Kiwihead15/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_en.md
new file mode 100644
index 00000000000000..597708796080f2
--- /dev/null
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@@ -0,0 +1,92 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_sgr23 DistilBertEmbeddings from sgr23
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_sgr23
+date: 2024-09-19
+tags: [distilbert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_sgr23` is a English model originally trained by sgr23.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_en_5.5.0_3.0_1726727610706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_en_5.5.0_3.0_1726727610706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_sgr23|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+References
+
+https://huggingface.co/sgr23/distilbert-base-uncased-finetuned-squad-d5716d28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_suzuki0829_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_suzuki0829_pipeline_en.md
new file mode 100644
index 00000000000000..b11607250f9b8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_suzuki0829_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_suzuki0829_pipeline pipeline DistilBertForQuestionAnswering from suzuki0829
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_suzuki0829_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_suzuki0829_pipeline` is a English model originally trained by suzuki0829.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_suzuki0829_pipeline_en_5.5.0_3.0_1726727652438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_suzuki0829_pipeline_en_5.5.0_3.0_1726727652438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_suzuki0829_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_suzuki0829_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_suzuki0829_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/suzuki0829/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_jmoonyoung_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_jmoonyoung_pipeline_en.md
new file mode 100644
index 00000000000000..19ce1f837cee0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_jmoonyoung_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_jmoonyoung_pipeline pipeline DistilBertForQuestionAnswering from jmoonyoung
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_jmoonyoung_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_jmoonyoung_pipeline` is a English model originally trained by jmoonyoung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_jmoonyoung_pipeline_en_5.5.0_3.0_1726748431199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_jmoonyoung_pipeline_en_5.5.0_3.0_1726748431199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_jmoonyoung_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_jmoonyoung_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_jmoonyoung_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jmoonyoung/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_jw9park9_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_jw9park9_en.md
new file mode 100644
index 00000000000000..fa4b2662c422aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_jw9park9_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_jw9park9 DistilBertForQuestionAnswering from jw9park9
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_jw9park9
+date: 2024-09-19
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_jw9park9` is a English model originally trained by jw9park9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_jw9park9_en_5.5.0_3.0_1726748466360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_jw9park9_en_5.5.0_3.0_1726748466360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_jw9park9|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jw9park9/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_jw9park9_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_jw9park9_pipeline_en.md
new file mode 100644
index 00000000000000..b6c9a9bf1da977
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_jw9park9_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_jw9park9_pipeline pipeline DistilBertForQuestionAnswering from jw9park9
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_jw9park9_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_jw9park9_pipeline` is a English model originally trained by jw9park9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_jw9park9_pipeline_en_5.5.0_3.0_1726748481458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_jw9park9_pipeline_en_5.5.0_3.0_1726748481458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_jw9park9_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_jw9park9_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_jw9park9_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jw9park9/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_mfenner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_mfenner_pipeline_en.md
new file mode 100644
index 00000000000000..124ee5e2fc60e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_mfenner_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_mfenner_pipeline pipeline DistilBertForQuestionAnswering from mfenner
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_mfenner_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_mfenner_pipeline` is a English model originally trained by mfenner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_mfenner_pipeline_en_5.5.0_3.0_1726766687582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_mfenner_pipeline_en_5.5.0_3.0_1726766687582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_mfenner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_mfenner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_mfenner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/mfenner/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_msamahero_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_msamahero_pipeline_en.md
new file mode 100644
index 00000000000000..072ded845e0a26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_msamahero_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_msamahero_pipeline pipeline DistilBertForQuestionAnswering from msamahero
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_msamahero_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_msamahero_pipeline` is a English model originally trained by msamahero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_msamahero_pipeline_en_5.5.0_3.0_1726727868301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_msamahero_pipeline_en_5.5.0_3.0_1726727868301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_msamahero_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_msamahero_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_msamahero_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/msamahero/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_tuner23652_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_tuner23652_pipeline_en.md
new file mode 100644
index 00000000000000..b56a88c5d809c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_tuner23652_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_tuner23652_pipeline pipeline DistilBertForQuestionAnswering from tuner23652
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_tuner23652_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_tuner23652_pipeline` is a English model originally trained by tuner23652.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_tuner23652_pipeline_en_5.5.0_3.0_1726766687210.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_tuner23652_pipeline_en_5.5.0_3.0_1726766687210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_tuner23652_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_tuner23652_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_tuner23652_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/tuner23652/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_pipeline_en.md
new file mode 100644
index 00000000000000..1c7de44171afd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_pipeline pipeline DistilBertForSequenceClassification from fatmhd1995
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_pipeline` is a English model originally trained by fatmhd1995.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_pipeline_en_5.5.0_3.0_1726740704617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_pipeline_en_5.5.0_3.0_1726740704617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fatmhd1995/distilbert-base-uncased-finetuned-sst-2-english-TOXICITY-FT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_idm_rd_train_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_idm_rd_train_en.md
new file mode 100644
index 00000000000000..710440b3e4e22f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_idm_rd_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_idm_rd_train DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_idm_rd_train
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_idm_rd_train` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_idm_rd_train_en_5.5.0_3.0_1726744251102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_idm_rd_train_en_5.5.0_3.0_1726744251102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_idm_rd_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_idm_rd_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_idm_rd_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_idm_rd_train_pipeline_en.md
new file mode 100644
index 00000000000000..fc8702f7d58b72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_idm_rd_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_idm_rd_train_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_idm_rd_train_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_idm_rd_train_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_idm_rd_train_pipeline_en_5.5.0_3.0_1726744263224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_idm_rd_train_pipeline_en_5.5.0_3.0_1726744263224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_idm_rd_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_idm_rd_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_idm_rd_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_idm_rd_train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline_en.md
new file mode 100644
index 00000000000000..b29b425dc21751
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline_en_5.5.0_3.0_1726742743756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline_en_5.5.0_3.0_1726742743756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st15sd_ut72ut5_PLPrefix0stlarge_simsp100_clean300
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_en.md
new file mode 100644
index 00000000000000..ae94e0f196083c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_en_5.5.0_3.0_1726742994441.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_en_5.5.0_3.0_1726742994441.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st16sd_ut72ut1large16PfxNf_simsp400_clean100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en.md
new file mode 100644
index 00000000000000..10851eddb39299
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en_5.5.0_3.0_1726743870592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en_5.5.0_3.0_1726743870592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st17sd_ut72ut1largePfxNf_simsp300_clean200
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_pipeline_en.md
new file mode 100644
index 00000000000000..c1ca7720dc8c39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_pipeline_en_5.5.0_3.0_1726742920125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_pipeline_en_5.5.0_3.0_1726742920125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st19sd_ut72ut5_PLPrefix0stlarge19_simsp100_clean300
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_qa_mash_covid_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_qa_mash_covid_en.md
new file mode 100644
index 00000000000000..7a08c14bb8f743
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_qa_mash_covid_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_qa_mash_covid DistilBertForQuestionAnswering from Eurosmart
+author: John Snow Labs
+name: distilbert_base_uncased_qa_mash_covid
+date: 2024-09-19
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_qa_mash_covid` is a English model originally trained by Eurosmart.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_qa_mash_covid_en_5.5.0_3.0_1726766773922.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_qa_mash_covid_en_5.5.0_3.0_1726766773922.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_qa_mash_covid|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Eurosmart/distilbert-base-uncased-qa-mash-covid
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_small_talk_zphr_0st_ut12ut1_plain_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_small_talk_zphr_0st_ut12ut1_plain_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..8be86bb5372d81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_small_talk_zphr_0st_ut12ut1_plain_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_small_talk_zphr_0st_ut12ut1_plain_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_small_talk_zphr_0st_ut12ut1_plain_simsp_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_small_talk_zphr_0st_ut12ut1_plain_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_small_talk_zphr_0st_ut12ut1_plain_simsp_pipeline_en_5.5.0_3.0_1726744191984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_small_talk_zphr_0st_ut12ut1_plain_simsp_pipeline_en_5.5.0_3.0_1726744191984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_small_talk_zphr_0st_ut12ut1_plain_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_small_talk_zphr_0st_ut12ut1_plain_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_small_talk_zphr_0st_ut12ut1_plain_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_small_talk_zphr_0st_ut12ut1_plain_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_small_talk_zphr_2st_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_small_talk_zphr_2st_pipeline_en.md
new file mode 100644
index 00000000000000..a77e409c9aeea6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_small_talk_zphr_2st_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_small_talk_zphr_2st_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_small_talk_zphr_2st_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_small_talk_zphr_2st_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_small_talk_zphr_2st_pipeline_en_5.5.0_3.0_1726764029285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_small_talk_zphr_2st_pipeline_en_5.5.0_3.0_1726764029285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_small_talk_zphr_2st_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_small_talk_zphr_2st_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_small_talk_zphr_2st_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_small_talk_zphr_2st
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_squad2_pruned_p50_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_squad2_pruned_p50_pipeline_en.md
new file mode 100644
index 00000000000000..7c103b0bc8e237
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_squad2_pruned_p50_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_pruned_p50_pipeline pipeline DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_pruned_p50_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_pruned_p50_pipeline` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_pruned_p50_pipeline_en_5.5.0_3.0_1726748521942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_pruned_p50_pipeline_en_5.5.0_3.0_1726748521942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_squad2_pruned_p50_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_squad2_pruned_p50_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_pruned_p50_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|185.2 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-pruned-p50
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_travel_zphr_1st_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_travel_zphr_1st_pipeline_en.md
new file mode 100644
index 00000000000000..c509e1e4ec4929
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_travel_zphr_1st_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_1st_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_1st_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_1st_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_1st_pipeline_en_5.5.0_3.0_1726719415016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_1st_pipeline_en_5.5.0_3.0_1726719415016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_travel_zphr_1st_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_travel_zphr_1st_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_1st_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_1st
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_emotion_suleymanvr_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_emotion_suleymanvr_en.md
new file mode 100644
index 00000000000000..7f0e4d7b563d15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_emotion_suleymanvr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_emotion_suleymanvr DistilBertForSequenceClassification from suleymanvr
+author: John Snow Labs
+name: distilbert_emotion_suleymanvr
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_suleymanvr` is a English model originally trained by suleymanvr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_suleymanvr_en_5.5.0_3.0_1726742510988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_suleymanvr_en_5.5.0_3.0_1726742510988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_suleymanvr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/suleymanvr/distilbert_emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_emotion_suleymanvr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_emotion_suleymanvr_pipeline_en.md
new file mode 100644
index 00000000000000..19a02377c37721
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_emotion_suleymanvr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_emotion_suleymanvr_pipeline pipeline DistilBertForSequenceClassification from suleymanvr
+author: John Snow Labs
+name: distilbert_emotion_suleymanvr_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_suleymanvr_pipeline` is a English model originally trained by suleymanvr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_suleymanvr_pipeline_en_5.5.0_3.0_1726742523474.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_suleymanvr_pipeline_en_5.5.0_3.0_1726742523474.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_emotion_suleymanvr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_emotion_suleymanvr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_suleymanvr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/suleymanvr/distilbert_emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_customer_queries_sebak13_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_customer_queries_sebak13_en.md
new file mode 100644
index 00000000000000..0a55f7b861c4af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_customer_queries_sebak13_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_finetuned_customer_queries_sebak13 DistilBertForSequenceClassification from SebaK13
+author: John Snow Labs
+name: distilbert_finetuned_customer_queries_sebak13
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_customer_queries_sebak13` is a English model originally trained by SebaK13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_customer_queries_sebak13_en_5.5.0_3.0_1726718982798.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_customer_queries_sebak13_en_5.5.0_3.0_1726718982798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_customer_queries_sebak13|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SebaK13/DistilBERT-finetuned-customer-queries
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_customer_queries_sebak13_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_customer_queries_sebak13_pipeline_en.md
new file mode 100644
index 00000000000000..be04e40a8ea929
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_customer_queries_sebak13_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_finetuned_customer_queries_sebak13_pipeline pipeline DistilBertForSequenceClassification from SebaK13
+author: John Snow Labs
+name: distilbert_finetuned_customer_queries_sebak13_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_customer_queries_sebak13_pipeline` is a English model originally trained by SebaK13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_customer_queries_sebak13_pipeline_en_5.5.0_3.0_1726718999584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_customer_queries_sebak13_pipeline_en_5.5.0_3.0_1726718999584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_customer_queries_sebak13_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_customer_queries_sebak13_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_customer_queries_sebak13_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/SebaK13/DistilBERT-finetuned-customer-queries
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_fake_reviews_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_fake_reviews_en.md
new file mode 100644
index 00000000000000..d99deec8bfcb12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_fake_reviews_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_finetuned_fake_reviews DistilBertForSequenceClassification from theArijitDas
+author: John Snow Labs
+name: distilbert_finetuned_fake_reviews
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_fake_reviews` is a English model originally trained by theArijitDas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_fake_reviews_en_5.5.0_3.0_1726719501707.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_fake_reviews_en_5.5.0_3.0_1726719501707.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_fake_reviews|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/theArijitDas/distilbert-finetuned-fake-reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_fake_reviews_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_fake_reviews_pipeline_en.md
new file mode 100644
index 00000000000000..2f25ecf62d4e1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_fake_reviews_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_finetuned_fake_reviews_pipeline pipeline DistilBertForSequenceClassification from theArijitDas
+author: John Snow Labs
+name: distilbert_finetuned_fake_reviews_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_fake_reviews_pipeline` is a English model originally trained by theArijitDas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_fake_reviews_pipeline_en_5.5.0_3.0_1726719514339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_fake_reviews_pipeline_en_5.5.0_3.0_1726719514339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_fake_reviews_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_fake_reviews_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_fake_reviews_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/theArijitDas/distilbert-finetuned-fake-reviews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_imdb_sentiment_dipanjans_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_imdb_sentiment_dipanjans_pipeline_en.md
new file mode 100644
index 00000000000000..dbc19469d8dc46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_imdb_sentiment_dipanjans_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_finetuned_imdb_sentiment_dipanjans_pipeline pipeline DistilBertForSequenceClassification from dipanjanS
+author: John Snow Labs
+name: distilbert_finetuned_imdb_sentiment_dipanjans_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_imdb_sentiment_dipanjans_pipeline` is a English model originally trained by dipanjanS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_dipanjans_pipeline_en_5.5.0_3.0_1726741479263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_dipanjans_pipeline_en_5.5.0_3.0_1726741479263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_imdb_sentiment_dipanjans_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_imdb_sentiment_dipanjans_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_imdb_sentiment_dipanjans_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dipanjanS/distilbert-finetuned-imdb-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_imdb_fine_tuned_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_imdb_fine_tuned_en.md
new file mode 100644
index 00000000000000..b2d8f01737a52c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_imdb_fine_tuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_imdb_fine_tuned DistilBertForSequenceClassification from vjrahil
+author: John Snow Labs
+name: distilbert_imdb_fine_tuned
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_fine_tuned` is a English model originally trained by vjrahil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_fine_tuned_en_5.5.0_3.0_1726740785865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_fine_tuned_en_5.5.0_3.0_1726740785865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_fine_tuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vjrahil/distilbert-imdb-fine-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_imdb_fine_tuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_imdb_fine_tuned_pipeline_en.md
new file mode 100644
index 00000000000000..1d3bc873553a10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_imdb_fine_tuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_imdb_fine_tuned_pipeline pipeline DistilBertForSequenceClassification from vjrahil
+author: John Snow Labs
+name: distilbert_imdb_fine_tuned_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_fine_tuned_pipeline` is a English model originally trained by vjrahil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_fine_tuned_pipeline_en_5.5.0_3.0_1726740799304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_fine_tuned_pipeline_en_5.5.0_3.0_1726740799304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_imdb_fine_tuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_imdb_fine_tuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_fine_tuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vjrahil/distilbert-imdb-fine-tuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_imdb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_imdb_pipeline_en.md
new file mode 100644
index 00000000000000..74c3109a341f31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_imdb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_imdb_pipeline pipeline RoBertaForSequenceClassification from Alex69AI
+author: John Snow Labs
+name: distilbert_imdb_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_pipeline` is a English model originally trained by Alex69AI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_pipeline_en_5.5.0_3.0_1726780364725.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_pipeline_en_5.5.0_3.0_1726780364725.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_imdb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_imdb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|461.9 MB|
+
+## References
+
+https://huggingface.co/Alex69AI/distilbert-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_netincomeloss_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_netincomeloss_pipeline_en.md
new file mode 100644
index 00000000000000..f239837d779f86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_netincomeloss_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_netincomeloss_pipeline pipeline DistilBertForSequenceClassification from lenguyen
+author: John Snow Labs
+name: distilbert_netincomeloss_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_netincomeloss_pipeline` is a English model originally trained by lenguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_netincomeloss_pipeline_en_5.5.0_3.0_1726742566923.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_netincomeloss_pipeline_en_5.5.0_3.0_1726742566923.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_netincomeloss_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_netincomeloss_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_netincomeloss_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.0 MB|
+
+## References
+
+https://huggingface.co/lenguyen/distilbert_NetIncomeLoss
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_pipeline_en.md
new file mode 100644
index 00000000000000..b55aa4328fc564
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_pipeline_en_5.5.0_3.0_1726743842105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_pipeline_en_5.5.0_3.0_1726743842105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_sst2_96
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_en.md
new file mode 100644
index 00000000000000..e0fd70602bc7dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_en_5.5.0_3.0_1726743596256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_en_5.5.0_3.0_1726743596256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_wnli_96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_pipeline_en.md
new file mode 100644
index 00000000000000..e8d84d7a9f50b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_pipeline_en_5.5.0_3.0_1726743597870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_pipeline_en_5.5.0_3.0_1726743597870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_96_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_wnli_96
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_rte_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_rte_en.md
new file mode 100644
index 00000000000000..5433f526e2057b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_rte_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_rte DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_rte
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_rte` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_rte_en_5.5.0_3.0_1726743751956.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_rte_en_5.5.0_3.0_1726743751956.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_rte|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.8 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_sentiment140_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sentiment140_en.md
new file mode 100644
index 00000000000000..c0d7ea170fa6f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sentiment140_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sentiment140 DistilBertForSequenceClassification from huiang
+author: John Snow Labs
+name: distilbert_sentiment140
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentiment140` is a English model originally trained by huiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentiment140_en_5.5.0_3.0_1726742817764.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentiment140_en_5.5.0_3.0_1726742817764.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sentiment140|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/huiang/distilbert-sentiment140
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_sentiment140_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sentiment140_pipeline_en.md
new file mode 100644
index 00000000000000..513e6e216d07e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sentiment140_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sentiment140_pipeline pipeline DistilBertForSequenceClassification from huiang
+author: John Snow Labs
+name: distilbert_sentiment140_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentiment140_pipeline` is a English model originally trained by huiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentiment140_pipeline_en_5.5.0_3.0_1726742830182.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentiment140_pipeline_en_5.5.0_3.0_1726742830182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sentiment140_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sentiment140_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sentiment140_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/huiang/distilbert-sentiment140
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_qa_turkish_squad_tr.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_qa_turkish_squad_tr.md
new file mode 100644
index 00000000000000..612e64282b4dae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_qa_turkish_squad_tr.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: Turkish distilbert_turkish_qa_turkish_squad DistilBertForQuestionAnswering from anilguven
+author: John Snow Labs
+name: distilbert_turkish_qa_turkish_squad
+date: 2024-09-19
+tags: [tr, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_turkish_qa_turkish_squad` is a Turkish model originally trained by anilguven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_turkish_qa_turkish_squad_tr_5.5.0_3.0_1726727784882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_turkish_qa_turkish_squad_tr_5.5.0_3.0_1726727784882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_newsapi121k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.4 MB|
+
+## References
+
+https://huggingface.co/judy93536/distilroberta-newsapi121k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilroberta_newsapi121k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilroberta_newsapi121k_pipeline_en.md
new file mode 100644
index 00000000000000..7b14450b608ca1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilroberta_newsapi121k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_newsapi121k_pipeline pipeline RoBertaEmbeddings from judy93536
+author: John Snow Labs
+name: distilroberta_newsapi121k_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_newsapi121k_pipeline` is a English model originally trained by judy93536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_newsapi121k_pipeline_en_5.5.0_3.0_1726749486237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_newsapi121k_pipeline_en_5.5.0_3.0_1726749486237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_newsapi121k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_newsapi121k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_newsapi121k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.4 MB|
+
+## References
+
+https://huggingface.co/judy93536/distilroberta-newsapi121k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-dopamin_pharo_keyimplementationpoints_en.md b/docs/_posts/ahmedlone127/2024-09-19-dopamin_pharo_keyimplementationpoints_en.md
new file mode 100644
index 00000000000000..4836eb51756c36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-dopamin_pharo_keyimplementationpoints_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dopamin_pharo_keyimplementationpoints RoBertaForSequenceClassification from Fsoft-AIC
+author: John Snow Labs
+name: dopamin_pharo_keyimplementationpoints
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dopamin_pharo_keyimplementationpoints` is a English model originally trained by Fsoft-AIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dopamin_pharo_keyimplementationpoints_en_5.5.0_3.0_1726733440248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dopamin_pharo_keyimplementationpoints_en_5.5.0_3.0_1726733440248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dopamin_pharo_keyimplementationpoints|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Fsoft-AIC/dopamin-pharo-keyimplementationpoints
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-dopamin_pharo_keyimplementationpoints_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-dopamin_pharo_keyimplementationpoints_pipeline_en.md
new file mode 100644
index 00000000000000..fa85a7c471027f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-dopamin_pharo_keyimplementationpoints_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dopamin_pharo_keyimplementationpoints_pipeline pipeline RoBertaForSequenceClassification from Fsoft-AIC
+author: John Snow Labs
+name: dopamin_pharo_keyimplementationpoints_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dopamin_pharo_keyimplementationpoints_pipeline` is a English model originally trained by Fsoft-AIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dopamin_pharo_keyimplementationpoints_pipeline_en_5.5.0_3.0_1726733463759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dopamin_pharo_keyimplementationpoints_pipeline_en_5.5.0_3.0_1726733463759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dopamin_pharo_keyimplementationpoints_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dopamin_pharo_keyimplementationpoints_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dopamin_pharo_keyimplementationpoints_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/Fsoft-AIC/dopamin-pharo-keyimplementationpoints
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-ds14_clean_en.md b/docs/_posts/ahmedlone127/2024-09-19-ds14_clean_en.md
new file mode 100644
index 00000000000000..63ad0370e7d0b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-ds14_clean_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ds14_clean DistilBertForSequenceClassification from lorfer
+author: John Snow Labs
+name: ds14_clean
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ds14_clean` is a English model originally trained by lorfer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ds14_clean_en_5.5.0_3.0_1726741129069.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ds14_clean_en_5.5.0_3.0_1726741129069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ds14_clean|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|251.7 MB|
+
+## References
+
+https://huggingface.co/lorfer/ds14-clean
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-ds14_clean_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-ds14_clean_pipeline_en.md
new file mode 100644
index 00000000000000..522385053b785b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-ds14_clean_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ds14_clean_pipeline pipeline DistilBertForSequenceClassification from lorfer
+author: John Snow Labs
+name: ds14_clean_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ds14_clean_pipeline` is a English model originally trained by lorfer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ds14_clean_pipeline_en_5.5.0_3.0_1726741141448.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ds14_clean_pipeline_en_5.5.0_3.0_1726741141448.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ds14_clean_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ds14_clean_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ds14_clean_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|251.7 MB|
+
+## References
+
+https://huggingface.co/lorfer/ds14-clean
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-dschallenge_roberta_base_parameters_en.md b/docs/_posts/ahmedlone127/2024-09-19-dschallenge_roberta_base_parameters_en.md
new file mode 100644
index 00000000000000..e596926fee08d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-dschallenge_roberta_base_parameters_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dschallenge_roberta_base_parameters RoBertaForSequenceClassification from leonardosaveri
+author: John Snow Labs
+name: dschallenge_roberta_base_parameters
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dschallenge_roberta_base_parameters` is a English model originally trained by leonardosaveri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dschallenge_roberta_base_parameters_en_5.5.0_3.0_1726732894377.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dschallenge_roberta_base_parameters_en_5.5.0_3.0_1726732894377.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dschallenge_roberta_base_parameters|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|459.6 MB|
+
+## References
+
+https://huggingface.co/leonardosaveri/DSChallenge_Roberta_Base_Parameters
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-dschallenge_roberta_base_parameters_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-dschallenge_roberta_base_parameters_pipeline_en.md
new file mode 100644
index 00000000000000..3a5c5add030311
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-dschallenge_roberta_base_parameters_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dschallenge_roberta_base_parameters_pipeline pipeline RoBertaForSequenceClassification from leonardosaveri
+author: John Snow Labs
+name: dschallenge_roberta_base_parameters_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dschallenge_roberta_base_parameters_pipeline` is a English model originally trained by leonardosaveri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dschallenge_roberta_base_parameters_pipeline_en_5.5.0_3.0_1726732924024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dschallenge_roberta_base_parameters_pipeline_en_5.5.0_3.0_1726732924024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dschallenge_roberta_base_parameters_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dschallenge_roberta_base_parameters_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dschallenge_roberta_base_parameters_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|459.6 MB|
+
+## References
+
+https://huggingface.co/leonardosaveri/DSChallenge_Roberta_Base_Parameters
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-emoji_emoji_random3_seed2_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-19-emoji_emoji_random3_seed2_roberta_base_en.md
new file mode 100644
index 00000000000000..9a10ad6a9f523d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-emoji_emoji_random3_seed2_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emoji_emoji_random3_seed2_roberta_base RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: emoji_emoji_random3_seed2_roberta_base
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emoji_emoji_random3_seed2_roberta_base` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoji_emoji_random3_seed2_roberta_base_en_5.5.0_3.0_1726733093575.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoji_emoji_random3_seed2_roberta_base_en_5.5.0_3.0_1726733093575.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|exp6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|304.2 MB|
+
+## References
+
+https://huggingface.co/crabz/exp6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-exp6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-exp6_pipeline_en.md
new file mode 100644
index 00000000000000..4df6a7e72197aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-exp6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English exp6_pipeline pipeline RoBertaEmbeddings from crabz
+author: John Snow Labs
+name: exp6_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`exp6_pipeline` is a English model originally trained by crabz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/exp6_pipeline_en_5.5.0_3.0_1726749020034.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/exp6_pipeline_en_5.5.0_3.0_1726749020034.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("exp6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("exp6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|exp6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|304.3 MB|
+
+## References
+
+https://huggingface.co/crabz/exp6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-experiment1_system1_roberta_base_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2024-09-19-experiment1_system1_roberta_base_finetuned_ner_en.md
new file mode 100644
index 00000000000000..575c2b48778f6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-experiment1_system1_roberta_base_finetuned_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English experiment1_system1_roberta_base_finetuned_ner RoBertaForTokenClassification from lobrien001
+author: John Snow Labs
+name: experiment1_system1_roberta_base_finetuned_ner
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`experiment1_system1_roberta_base_finetuned_ner` is a English model originally trained by lobrien001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/experiment1_system1_roberta_base_finetuned_ner_en_5.5.0_3.0_1726731392041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/experiment1_system1_roberta_base_finetuned_ner_en_5.5.0_3.0_1726731392041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|experiment1_system1_roberta_base_finetuned_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|425.5 MB|
+
+## References
+
+https://huggingface.co/lobrien001/Experiment1-system1-roberta-base-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-fakenewsmodel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-fakenewsmodel_pipeline_en.md
new file mode 100644
index 00000000000000..f7ae84948a5a24
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-fakenewsmodel_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fakenewsmodel_pipeline pipeline RoBertaForSequenceClassification from magnusgp
+author: John Snow Labs
+name: fakenewsmodel_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fakenewsmodel_pipeline` is a English model originally trained by magnusgp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenewsmodel_pipeline_en_5.5.0_3.0_1726750936289.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenewsmodel_pipeline_en_5.5.0_3.0_1726750936289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fakenewsmodel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fakenewsmodel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenewsmodel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|425.7 MB|
+
+## References
+
+https://huggingface.co/magnusgp/fakenewsmodel
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-financial_sentiment_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-financial_sentiment_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..aed06f028461ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-financial_sentiment_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English financial_sentiment_distilbert_pipeline pipeline DistilBertForSequenceClassification from runaksh
+author: John Snow Labs
+name: financial_sentiment_distilbert_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`financial_sentiment_distilbert_pipeline` is a English model originally trained by runaksh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/financial_sentiment_distilbert_pipeline_en_5.5.0_3.0_1726704660928.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/financial_sentiment_distilbert_pipeline_en_5.5.0_3.0_1726704660928.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("financial_sentiment_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("financial_sentiment_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|financial_sentiment_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/runaksh/financial_sentiment_distilBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finbert_netcashprovidedbyusedininvestingactivities_en.md b/docs/_posts/ahmedlone127/2024-09-19-finbert_netcashprovidedbyusedininvestingactivities_en.md
new file mode 100644
index 00000000000000..74132bf448d3ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finbert_netcashprovidedbyusedininvestingactivities_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finbert_netcashprovidedbyusedininvestingactivities DistilBertForSequenceClassification from lenguyen
+author: John Snow Labs
+name: finbert_netcashprovidedbyusedininvestingactivities
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finbert_netcashprovidedbyusedininvestingactivities` is a English model originally trained by lenguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finbert_netcashprovidedbyusedininvestingactivities_en_5.5.0_3.0_1726741140378.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finbert_netcashprovidedbyusedininvestingactivities_en_5.5.0_3.0_1726741140378.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_lr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/leolin12345/fine-tune-lr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-fine_tune_lr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-fine_tune_lr_pipeline_en.md
new file mode 100644
index 00000000000000..733c18fcfd34b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-fine_tune_lr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tune_lr_pipeline pipeline RoBertaEmbeddings from leolin12345
+author: John Snow Labs
+name: fine_tune_lr_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_lr_pipeline` is a English model originally trained by leolin12345.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_lr_pipeline_en_5.5.0_3.0_1726749055369.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_lr_pipeline_en_5.5.0_3.0_1726749055369.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tune_lr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tune_lr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_lr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/leolin12345/fine-tune-lr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetune_output_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetune_output_en.md
new file mode 100644
index 00000000000000..e66b188283701b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetune_output_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetune_output RoBertaForTokenClassification from annavines
+author: John Snow Labs
+name: finetune_output
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetune_output` is a English model originally trained by annavines.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetune_output_en_5.5.0_3.0_1726731047181.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetune_output_en_5.5.0_3.0_1726731047181.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetune_output|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|429.1 MB|
+
+## References
+
+https://huggingface.co/annavines/finetune_output
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuned_demo_sagax_sagacis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuned_demo_sagax_sagacis_pipeline_en.md
new file mode 100644
index 00000000000000..c5a3c2c8cec642
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuned_demo_sagax_sagacis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_demo_sagax_sagacis_pipeline pipeline DistilBertForSequenceClassification from sagax-sagacis
+author: John Snow Labs
+name: finetuned_demo_sagax_sagacis_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_demo_sagax_sagacis_pipeline` is a English model originally trained by sagax-sagacis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_demo_sagax_sagacis_pipeline_en_5.5.0_3.0_1726763784189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_demo_sagax_sagacis_pipeline_en_5.5.0_3.0_1726763784189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_demo_sagax_sagacis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_demo_sagax_sagacis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_demo_sagax_sagacis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/sagax-sagacis/finetuned_demo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuned_distilbertmy_model_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuned_distilbertmy_model_en.md
new file mode 100644
index 00000000000000..eaecec2ad3355c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuned_distilbertmy_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_distilbertmy_model DistilBertForSequenceClassification from nypgd
+author: John Snow Labs
+name: finetuned_distilbertmy_model
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbertmy_model` is a English model originally trained by nypgd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbertmy_model_en_5.5.0_3.0_1726743963015.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbertmy_model_en_5.5.0_3.0_1726743963015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbertmy_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nypgd/finetuned-distilbertMy_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuned_distilbertmy_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuned_distilbertmy_model_pipeline_en.md
new file mode 100644
index 00000000000000..4efb3807cd5a4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuned_distilbertmy_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_distilbertmy_model_pipeline pipeline DistilBertForSequenceClassification from nypgd
+author: John Snow Labs
+name: finetuned_distilbertmy_model_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbertmy_model_pipeline` is a English model originally trained by nypgd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbertmy_model_pipeline_en_5.5.0_3.0_1726743980494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbertmy_model_pipeline_en_5.5.0_3.0_1726743980494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_distilbertmy_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_distilbertmy_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbertmy_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nypgd/finetuned-distilbertMy_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuned_fakenewsdetect_robertabasedl_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuned_fakenewsdetect_robertabasedl_pipeline_en.md
new file mode 100644
index 00000000000000..c8e0ab41a083f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuned_fakenewsdetect_robertabasedl_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_fakenewsdetect_robertabasedl_pipeline pipeline RoBertaForSequenceClassification from Johnson-Olakanmi
+author: John Snow Labs
+name: finetuned_fakenewsdetect_robertabasedl_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_fakenewsdetect_robertabasedl_pipeline` is a English model originally trained by Johnson-Olakanmi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_fakenewsdetect_robertabasedl_pipeline_en_5.5.0_3.0_1726750952839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_fakenewsdetect_robertabasedl_pipeline_en_5.5.0_3.0_1726750952839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_fakenewsdetect_robertabasedl_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_fakenewsdetect_robertabasedl_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_fakenewsdetect_robertabasedl_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|458.5 MB|
+
+## References
+
+https://huggingface.co/Johnson-Olakanmi/finetuned_fakenewsDetect_RobertaBaseDL
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuned_roberta_base_model_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuned_roberta_base_model_en.md
new file mode 100644
index 00000000000000..578b4863c238b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuned_roberta_base_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_roberta_base_model RoBertaForSequenceClassification from KwabenaMufasa
+author: John Snow Labs
+name: finetuned_roberta_base_model
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_roberta_base_model` is a English model originally trained by KwabenaMufasa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_model_en_5.5.0_3.0_1726780218445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_model_en_5.5.0_3.0_1726780218445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_roberta_base_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.3 MB|
+
+## References
+
+https://huggingface.co/KwabenaMufasa/Finetuned-Roberta-base-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_covidsenti_bert_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_covidsenti_bert_model_pipeline_en.md
new file mode 100644
index 00000000000000..e4648d6a8f7326
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_covidsenti_bert_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_covidsenti_bert_model_pipeline pipeline DistilBertForSequenceClassification from Letrica
+author: John Snow Labs
+name: finetuning_covidsenti_bert_model_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_covidsenti_bert_model_pipeline` is a English model originally trained by Letrica.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_covidsenti_bert_model_pipeline_en_5.5.0_3.0_1726763844991.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_covidsenti_bert_model_pipeline_en_5.5.0_3.0_1726763844991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_covidsenti_bert_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_covidsenti_bert_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_covidsenti_bert_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Letrica/finetuning-COVIDSenti-bert-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_analysis_siebert_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_analysis_siebert_en.md
new file mode 100644
index 00000000000000..1b9bdc9dea6106
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_analysis_siebert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_analysis_siebert RoBertaForSequenceClassification from aruca
+author: John Snow Labs
+name: finetuning_sentiment_analysis_siebert
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_analysis_siebert` is a English model originally trained by aruca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_analysis_siebert_en_5.5.0_3.0_1726726241836.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_analysis_siebert_en_5.5.0_3.0_1726726241836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_analysis_siebert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/aruca/finetuning-sentiment-analysis-siebert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_8_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_8_en.md
new file mode 100644
index 00000000000000..ccfe5e6fa0eacc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_8 DistilBertForSequenceClassification from mamledes
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_8
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_8` is a English model originally trained by mamledes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_8_en_5.5.0_3.0_1726763423082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_8_en_5.5.0_3.0_1726763423082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_8|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mamledes/finetuning-sentiment-model-3000-samples_8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_brightkay_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_brightkay_en.md
new file mode 100644
index 00000000000000..6ae19a87e4cdb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_brightkay_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_brightkay DistilBertForSequenceClassification from brightkay
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_brightkay
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_brightkay` is a English model originally trained by brightkay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_brightkay_en_5.5.0_3.0_1726741342645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_brightkay_en_5.5.0_3.0_1726741342645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_brightkay|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/brightkay/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_brightkay_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_brightkay_pipeline_en.md
new file mode 100644
index 00000000000000..3a2ab8d00922a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_brightkay_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_brightkay_pipeline pipeline DistilBertForSequenceClassification from brightkay
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_brightkay_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_brightkay_pipeline` is a English model originally trained by brightkay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_brightkay_pipeline_en_5.5.0_3.0_1726741355190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_brightkay_pipeline_en_5.5.0_3.0_1726741355190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_brightkay_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_brightkay_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_brightkay_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/brightkay/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_chinavx2v2_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_chinavx2v2_en.md
new file mode 100644
index 00000000000000..e3e0b1de28cca6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_chinavx2v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_chinavx2v2 DistilBertForSequenceClassification from chinavx2v2
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_chinavx2v2
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_chinavx2v2` is a English model originally trained by chinavx2v2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_chinavx2v2_en_5.5.0_3.0_1726740896094.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_chinavx2v2_en_5.5.0_3.0_1726740896094.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_chinavx2v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chinavx2v2/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_chinavx2v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_chinavx2v2_pipeline_en.md
new file mode 100644
index 00000000000000..fb38cc3248a3ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_chinavx2v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_chinavx2v2_pipeline pipeline DistilBertForSequenceClassification from chinavx2v2
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_chinavx2v2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_chinavx2v2_pipeline` is a English model originally trained by chinavx2v2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_chinavx2v2_pipeline_en_5.5.0_3.0_1726740908957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_chinavx2v2_pipeline_en_5.5.0_3.0_1726740908957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_chinavx2v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_chinavx2v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_chinavx2v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chinavx2v2/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_freedino_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_freedino_pipeline_en.md
new file mode 100644
index 00000000000000..7c9d5e96b4298a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_freedino_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_freedino_pipeline pipeline DistilBertForSequenceClassification from Freedino
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_freedino_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_freedino_pipeline` is a English model originally trained by Freedino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_freedino_pipeline_en_5.5.0_3.0_1726719207056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_freedino_pipeline_en_5.5.0_3.0_1726719207056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_freedino_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_freedino_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_freedino_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Freedino/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_40000_movie_reviews_sample_1_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_40000_movie_reviews_sample_1_en.md
new file mode 100644
index 00000000000000..d06dfdacbcd2ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_40000_movie_reviews_sample_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_40000_movie_reviews_sample_1 DistilBertForSequenceClassification from tiennn
+author: John Snow Labs
+name: finetuning_sentiment_model_40000_movie_reviews_sample_1
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_40000_movie_reviews_sample_1` is a English model originally trained by tiennn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_40000_movie_reviews_sample_1_en_5.5.0_3.0_1726740757913.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_40000_movie_reviews_sample_1_en_5.5.0_3.0_1726740757913.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_40000_movie_reviews_sample_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tiennn/finetuning-sentiment-model-40000-movie-reviews-sample-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_40000_movie_reviews_sample_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_40000_movie_reviews_sample_1_pipeline_en.md
new file mode 100644
index 00000000000000..bc8679d784dafa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_40000_movie_reviews_sample_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_40000_movie_reviews_sample_1_pipeline pipeline DistilBertForSequenceClassification from tiennn
+author: John Snow Labs
+name: finetuning_sentiment_model_40000_movie_reviews_sample_1_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_40000_movie_reviews_sample_1_pipeline` is a English model originally trained by tiennn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_40000_movie_reviews_sample_1_pipeline_en_5.5.0_3.0_1726740770466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_40000_movie_reviews_sample_1_pipeline_en_5.5.0_3.0_1726740770466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_40000_movie_reviews_sample_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_40000_movie_reviews_sample_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_40000_movie_reviews_sample_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tiennn/finetuning-sentiment-model-40000-movie-reviews-sample-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_6000_samples_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_6000_samples_en.md
new file mode 100644
index 00000000000000..baef5e09987adb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_6000_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_6000_samples DistilBertForSequenceClassification from WHL2001
+author: John Snow Labs
+name: finetuning_sentiment_model_6000_samples
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_6000_samples` is a English model originally trained by WHL2001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_6000_samples_en_5.5.0_3.0_1726763845179.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_6000_samples_en_5.5.0_3.0_1726763845179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_6000_samples|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/WHL2001/finetuning-sentiment-model-6000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_imdb_3000_samples_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_imdb_3000_samples_en.md
new file mode 100644
index 00000000000000..51dbca3d714ef0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_imdb_3000_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_imdb_3000_samples DistilBertForSequenceClassification from akshataupadhye
+author: John Snow Labs
+name: finetuning_sentiment_model_imdb_3000_samples
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_imdb_3000_samples` is a English model originally trained by akshataupadhye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_imdb_3000_samples_en_5.5.0_3.0_1726743424383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_imdb_3000_samples_en_5.5.0_3.0_1726743424383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_imdb_3000_samples|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/akshataupadhye/finetuning-sentiment-model-imdb-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_lr_2e_05_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_lr_2e_05_pipeline_en.md
new file mode 100644
index 00000000000000..1e81f387c160f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_lr_2e_05_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_lr_2e_05_pipeline pipeline DistilBertForSequenceClassification from ash-akjp-ga
+author: John Snow Labs
+name: finetuning_sentiment_model_lr_2e_05_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_lr_2e_05_pipeline` is a English model originally trained by ash-akjp-ga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_lr_2e_05_pipeline_en_5.5.0_3.0_1726743748135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_lr_2e_05_pipeline_en_5.5.0_3.0_1726743748135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_lr_2e_05_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_lr_2e_05_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_lr_2e_05_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ash-akjp-ga/finetuning-sentiment-model_lr_2e-05
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_reddit_3000_samples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_reddit_3000_samples_pipeline_en.md
new file mode 100644
index 00000000000000..2e2254916c607b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_reddit_3000_samples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_reddit_3000_samples_pipeline pipeline DistilBertForSequenceClassification from akshataupadhye
+author: John Snow Labs
+name: finetuning_sentiment_model_reddit_3000_samples_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_reddit_3000_samples_pipeline` is a English model originally trained by akshataupadhye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_reddit_3000_samples_pipeline_en_5.5.0_3.0_1726743652752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_reddit_3000_samples_pipeline_en_5.5.0_3.0_1726743652752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_reddit_3000_samples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_reddit_3000_samples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_reddit_3000_samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/akshataupadhye/finetuning-sentiment-model-reddit-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-flame_italian_it.md b/docs/_posts/ahmedlone127/2024-09-19-flame_italian_it.md
new file mode 100644
index 00000000000000..bd513c8744d4a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-flame_italian_it.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Italian flame_italian BertForSequenceClassification from aequa-tech
+author: John Snow Labs
+name: flame_italian
+date: 2024-09-19
+tags: [it, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`flame_italian` is a Italian model originally trained by aequa-tech.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/flame_italian_it_5.5.0_3.0_1726770841788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/flame_italian_it_5.5.0_3.0_1726770841788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|flame_italian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|691.9 MB|
+
+## References
+
+https://huggingface.co/aequa-tech/flame-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-formalrobertalincoln_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-formalrobertalincoln_pipeline_en.md
new file mode 100644
index 00000000000000..7733feafe6f84e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-formalrobertalincoln_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English formalrobertalincoln_pipeline pipeline RoBertaEmbeddings from BigSalmon
+author: John Snow Labs
+name: formalrobertalincoln_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`formalrobertalincoln_pipeline` is a English model originally trained by BigSalmon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/formalrobertalincoln_pipeline_en_5.5.0_3.0_1726778037143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/formalrobertalincoln_pipeline_en_5.5.0_3.0_1726778037143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("formalrobertalincoln_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("formalrobertalincoln_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|formalrobertalincoln_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/BigSalmon/FormalRobertaLincoln
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-ft_danish_distilbert_gdp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-ft_danish_distilbert_gdp_pipeline_en.md
new file mode 100644
index 00000000000000..a13776e06ff62b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-ft_danish_distilbert_gdp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ft_danish_distilbert_gdp_pipeline pipeline DistilBertForSequenceClassification from gc394
+author: John Snow Labs
+name: ft_danish_distilbert_gdp_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ft_danish_distilbert_gdp_pipeline` is a English model originally trained by gc394.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ft_danish_distilbert_gdp_pipeline_en_5.5.0_3.0_1726743657936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ft_danish_distilbert_gdp_pipeline_en_5.5.0_3.0_1726743657936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ft_danish_distilbert_gdp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ft_danish_distilbert_gdp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ft_danish_distilbert_gdp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gc394/ft_da_distilbert_gdp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-furina_seed42_eng_esp_hau_basic_5e_06_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-furina_seed42_eng_esp_hau_basic_5e_06_pipeline_en.md
new file mode 100644
index 00000000000000..2b59ad2694490c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-furina_seed42_eng_esp_hau_basic_5e_06_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English furina_seed42_eng_esp_hau_basic_5e_06_pipeline pipeline XlmRoBertaForSequenceClassification from Shijia
+author: John Snow Labs
+name: furina_seed42_eng_esp_hau_basic_5e_06_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`furina_seed42_eng_esp_hau_basic_5e_06_pipeline` is a English model originally trained by Shijia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_esp_hau_basic_5e_06_pipeline_en_5.5.0_3.0_1726721685281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_esp_hau_basic_5e_06_pipeline_en_5.5.0_3.0_1726721685281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("furina_seed42_eng_esp_hau_basic_5e_06_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("furina_seed42_eng_esp_hau_basic_5e_06_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|furina_seed42_eng_esp_hau_basic_5e_06_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/Shijia/furina_seed42_eng_esp_hau_basic_5e-06
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-gal_sp_xlm_r_gl.md b/docs/_posts/ahmedlone127/2024-09-19-gal_sp_xlm_r_gl.md
new file mode 100644
index 00000000000000..d2dfe04f87dab6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-gal_sp_xlm_r_gl.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Galician gal_sp_xlm_r XlmRoBertaForTokenClassification from mbruton
+author: John Snow Labs
+name: gal_sp_xlm_r
+date: 2024-09-19
+tags: [gl, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: gl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gal_sp_xlm_r` is a Galician model originally trained by mbruton.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gal_sp_xlm_r_gl_5.5.0_3.0_1726737762536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gal_sp_xlm_r_gl_5.5.0_3.0_1726737762536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|graphcodebert_refactor|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/Riasat98/GraphCodeBERT-refactor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-graphcodebert_refactor_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-graphcodebert_refactor_pipeline_en.md
new file mode 100644
index 00000000000000..4a01623f5dafb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-graphcodebert_refactor_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English graphcodebert_refactor_pipeline pipeline RoBertaEmbeddings from Riasat98
+author: John Snow Labs
+name: graphcodebert_refactor_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`graphcodebert_refactor_pipeline` is a English model originally trained by Riasat98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/graphcodebert_refactor_pipeline_en_5.5.0_3.0_1726749441856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/graphcodebert_refactor_pipeline_en_5.5.0_3.0_1726749441856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("graphcodebert_refactor_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("graphcodebert_refactor_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|graphcodebert_refactor_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.2 MB|
+
+## References
+
+https://huggingface.co/Riasat98/GraphCodeBERT-refactor
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-guaran_bert_tiny_cased_gn.md b/docs/_posts/ahmedlone127/2024-09-19-guaran_bert_tiny_cased_gn.md
new file mode 100644
index 00000000000000..561c04cae4da89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-guaran_bert_tiny_cased_gn.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Guarani guaran_bert_tiny_cased BertEmbeddings from mmaguero
+author: John Snow Labs
+name: guaran_bert_tiny_cased
+date: 2024-09-19
+tags: [gn, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: gn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`guaran_bert_tiny_cased` is a Guarani model originally trained by mmaguero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/guaran_bert_tiny_cased_gn_5.5.0_3.0_1726731792545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/guaran_bert_tiny_cased_gn_5.5.0_3.0_1726731792545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|guaran_bert_tiny_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|gn|
+|Size:|34.5 MB|
+
+## References
+
+https://huggingface.co/mmaguero/gn-bert-tiny-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-hate_detect_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-hate_detect_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..56f39feae7a373
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-hate_detect_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_detect_distilbert_pipeline pipeline DistilBertForSequenceClassification from vipulkumar49
+author: John Snow Labs
+name: hate_detect_distilbert_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_detect_distilbert_pipeline` is a English model originally trained by vipulkumar49.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_detect_distilbert_pipeline_en_5.5.0_3.0_1726743864659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_detect_distilbert_pipeline_en_5.5.0_3.0_1726743864659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_detect_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_detect_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_detect_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vipulkumar49/hate_detect_distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-hate_hate_random0_seed2_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-hate_hate_random0_seed2_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..137192d18f3a22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-hate_hate_random0_seed2_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_random0_seed2_roberta_base_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random0_seed2_roberta_base_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random0_seed2_roberta_base_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed2_roberta_base_pipeline_en_5.5.0_3.0_1726732539986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed2_roberta_base_pipeline_en_5.5.0_3.0_1726732539986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_hate_random0_seed2_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_random0_seed2_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random0_seed2_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|427.7 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random0_seed2-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-hate_hate_random2_seed1_twitter_roberta_base_2019_90m_en.md b/docs/_posts/ahmedlone127/2024-09-19-hate_hate_random2_seed1_twitter_roberta_base_2019_90m_en.md
new file mode 100644
index 00000000000000..15168e23991e51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-hate_hate_random2_seed1_twitter_roberta_base_2019_90m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_random2_seed1_twitter_roberta_base_2019_90m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random2_seed1_twitter_roberta_base_2019_90m
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random2_seed1_twitter_roberta_base_2019_90m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random2_seed1_twitter_roberta_base_2019_90m_en_5.5.0_3.0_1726751307032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random2_seed1_twitter_roberta_base_2019_90m_en_5.5.0_3.0_1726751307032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hatebertimbau|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|pt|
+|Size:|405.5 MB|
+
+## References
+
+https://huggingface.co/knowhate/HateBERTimbau
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-hupd_distilbert_2023_02_16_13_20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-hupd_distilbert_2023_02_16_13_20_pipeline_en.md
new file mode 100644
index 00000000000000..22403c98164ca6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-hupd_distilbert_2023_02_16_13_20_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hupd_distilbert_2023_02_16_13_20_pipeline pipeline RoBertaForSequenceClassification from leeju
+author: John Snow Labs
+name: hupd_distilbert_2023_02_16_13_20_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hupd_distilbert_2023_02_16_13_20_pipeline` is a English model originally trained by leeju.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hupd_distilbert_2023_02_16_13_20_pipeline_en_5.5.0_3.0_1726751061672.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hupd_distilbert_2023_02_16_13_20_pipeline_en_5.5.0_3.0_1726751061672.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hupd_distilbert_2023_02_16_13_20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hupd_distilbert_2023_02_16_13_20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hupd_distilbert_2023_02_16_13_20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|312.3 MB|
+
+## References
+
+https://huggingface.co/leeju/HUPD_distilbert_2023-02-16_13-20
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-hw001_lastsmile_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-hw001_lastsmile_pipeline_en.md
new file mode 100644
index 00000000000000..899c496d945635
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-hw001_lastsmile_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hw001_lastsmile_pipeline pipeline DistilBertForSequenceClassification from LastSmile
+author: John Snow Labs
+name: hw001_lastsmile_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw001_lastsmile_pipeline` is a English model originally trained by LastSmile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw001_lastsmile_pipeline_en_5.5.0_3.0_1726719320904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw001_lastsmile_pipeline_en_5.5.0_3.0_1726719320904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hw001_lastsmile_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hw001_lastsmile_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw001_lastsmile_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LastSmile/HW001
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-hw01_albertttt_en.md b/docs/_posts/ahmedlone127/2024-09-19-hw01_albertttt_en.md
new file mode 100644
index 00000000000000..d8d7b0998e7cd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-hw01_albertttt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hw01_albertttt DistilBertForSequenceClassification from albertttt
+author: John Snow Labs
+name: hw01_albertttt
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw01_albertttt` is a English model originally trained by albertttt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw01_albertttt_en_5.5.0_3.0_1726764089086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw01_albertttt_en_5.5.0_3.0_1726764089086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw01_albertttt|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/albertttt/HW01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-iab_category_classification_en.md b/docs/_posts/ahmedlone127/2024-09-19-iab_category_classification_en.md
new file mode 100644
index 00000000000000..ce8756477355f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-iab_category_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English iab_category_classification BertForSequenceClassification from PavanDeepak
+author: John Snow Labs
+name: iab_category_classification
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iab_category_classification` is a English model originally trained by PavanDeepak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iab_category_classification_en_5.5.0_3.0_1726739183832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iab_category_classification_en_5.5.0_3.0_1726739183832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|iab_category_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.0 MB|
+
+## References
+
+https://huggingface.co/PavanDeepak/IAB_Category_Classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-iab_category_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-iab_category_classification_pipeline_en.md
new file mode 100644
index 00000000000000..18fb9bd86bb45d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-iab_category_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English iab_category_classification_pipeline pipeline BertForSequenceClassification from PavanDeepak
+author: John Snow Labs
+name: iab_category_classification_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iab_category_classification_pipeline` is a English model originally trained by PavanDeepak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iab_category_classification_pipeline_en_5.5.0_3.0_1726739203258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iab_category_classification_pipeline_en_5.5.0_3.0_1726739203258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("iab_category_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("iab_category_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|iab_category_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.0 MB|
+
+## References
+
+https://huggingface.co/PavanDeepak/IAB_Category_Classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-imvladikon_charbert_roberta_wiki_fa.md b/docs/_posts/ahmedlone127/2024-09-19-imvladikon_charbert_roberta_wiki_fa.md
new file mode 100644
index 00000000000000..0504a95fb148aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-imvladikon_charbert_roberta_wiki_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian imvladikon_charbert_roberta_wiki RoBertaForTokenClassification from PerSpaCor
+author: John Snow Labs
+name: imvladikon_charbert_roberta_wiki
+date: 2024-09-19
+tags: [fa, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imvladikon_charbert_roberta_wiki` is a Persian model originally trained by PerSpaCor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imvladikon_charbert_roberta_wiki_fa_5.5.0_3.0_1726731170092.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imvladikon_charbert_roberta_wiki_fa_5.5.0_3.0_1726731170092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imvladikon_charbert_roberta_wiki|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|fa|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/PerSpaCor/imvladikon-charbert-roberta-wiki
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-imvladikon_charbert_roberta_wiki_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-19-imvladikon_charbert_roberta_wiki_pipeline_fa.md
new file mode 100644
index 00000000000000..3b9bf6287ee5a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-imvladikon_charbert_roberta_wiki_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian imvladikon_charbert_roberta_wiki_pipeline pipeline RoBertaForTokenClassification from PerSpaCor
+author: John Snow Labs
+name: imvladikon_charbert_roberta_wiki_pipeline
+date: 2024-09-19
+tags: [fa, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imvladikon_charbert_roberta_wiki_pipeline` is a Persian model originally trained by PerSpaCor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imvladikon_charbert_roberta_wiki_pipeline_fa_5.5.0_3.0_1726731192195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imvladikon_charbert_roberta_wiki_pipeline_fa_5.5.0_3.0_1726731192195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imvladikon_charbert_roberta_wiki_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imvladikon_charbert_roberta_wiki_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imvladikon_charbert_roberta_wiki_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/PerSpaCor/imvladikon-charbert-roberta-wiki
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-indo_smsa_1_5g_sentiment_analysis_id.md b/docs/_posts/ahmedlone127/2024-09-19-indo_smsa_1_5g_sentiment_analysis_id.md
new file mode 100644
index 00000000000000..6999f20bec954e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-indo_smsa_1_5g_sentiment_analysis_id.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Indonesian indo_smsa_1_5g_sentiment_analysis BertForSequenceClassification from dhanikitkat
+author: John Snow Labs
+name: indo_smsa_1_5g_sentiment_analysis
+date: 2024-09-19
+tags: [id, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indo_smsa_1_5g_sentiment_analysis` is a Indonesian model originally trained by dhanikitkat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indo_smsa_1_5g_sentiment_analysis_id_5.5.0_3.0_1726736200614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indo_smsa_1_5g_sentiment_analysis_id_5.5.0_3.0_1726736200614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indo_smsa_1_5g_sentiment_analysis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/dhanikitkat/indo_smsa-1.5G_sentiment_analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-indo_smsa_1_5g_sentiment_analysis_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-19-indo_smsa_1_5g_sentiment_analysis_pipeline_id.md
new file mode 100644
index 00000000000000..08880b7e3132d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-indo_smsa_1_5g_sentiment_analysis_pipeline_id.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Indonesian indo_smsa_1_5g_sentiment_analysis_pipeline pipeline BertForSequenceClassification from dhanikitkat
+author: John Snow Labs
+name: indo_smsa_1_5g_sentiment_analysis_pipeline
+date: 2024-09-19
+tags: [id, open_source, pipeline, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indo_smsa_1_5g_sentiment_analysis_pipeline` is a Indonesian model originally trained by dhanikitkat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indo_smsa_1_5g_sentiment_analysis_pipeline_id_5.5.0_3.0_1726736220538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indo_smsa_1_5g_sentiment_analysis_pipeline_id_5.5.0_3.0_1726736220538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indo_smsa_1_5g_sentiment_analysis_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indo_smsa_1_5g_sentiment_analysis_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indo_smsa_1_5g_sentiment_analysis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/dhanikitkat/indo_smsa-1.5G_sentiment_analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-intercalado_id23_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-intercalado_id23_pipeline_en.md
new file mode 100644
index 00000000000000..3ddf3b686cf701
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-intercalado_id23_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English intercalado_id23_pipeline pipeline DistilBertForSequenceClassification from manarea
+author: John Snow Labs
+name: intercalado_id23_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intercalado_id23_pipeline` is a English model originally trained by manarea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intercalado_id23_pipeline_en_5.5.0_3.0_1726740821256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intercalado_id23_pipeline_en_5.5.0_3.0_1726740821256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("intercalado_id23_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("intercalado_id23_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intercalado_id23_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|223.0 MB|
+
+## References
+
+https://huggingface.co/manarea/Intercalado-ID23
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-japanese_fine_tuned_whisper_model_nikolajvestergaard_pipeline_ja.md b/docs/_posts/ahmedlone127/2024-09-19-japanese_fine_tuned_whisper_model_nikolajvestergaard_pipeline_ja.md
new file mode 100644
index 00000000000000..e80fb7461a37b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-japanese_fine_tuned_whisper_model_nikolajvestergaard_pipeline_ja.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Japanese japanese_fine_tuned_whisper_model_nikolajvestergaard_pipeline pipeline WhisperForCTC from Nikolajvestergaard
+author: John Snow Labs
+name: japanese_fine_tuned_whisper_model_nikolajvestergaard_pipeline
+date: 2024-09-19
+tags: [ja, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ja
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`japanese_fine_tuned_whisper_model_nikolajvestergaard_pipeline` is a Japanese model originally trained by Nikolajvestergaard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/japanese_fine_tuned_whisper_model_nikolajvestergaard_pipeline_ja_5.5.0_3.0_1726759342636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/japanese_fine_tuned_whisper_model_nikolajvestergaard_pipeline_ja_5.5.0_3.0_1726759342636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("japanese_fine_tuned_whisper_model_nikolajvestergaard_pipeline", lang = "ja")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("japanese_fine_tuned_whisper_model_nikolajvestergaard_pipeline", lang = "ja")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|japanese_fine_tuned_whisper_model_nikolajvestergaard_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ja|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/Nikolajvestergaard/Japanese_Fine_Tuned_Whisper_Model
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-korean_clickbait_news_classifier_xlm_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-19-korean_clickbait_news_classifier_xlm_roberta_base_en.md
new file mode 100644
index 00000000000000..b46d41279f7d0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-korean_clickbait_news_classifier_xlm_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English korean_clickbait_news_classifier_xlm_roberta_base XlmRoBertaForSequenceClassification from Hyeonseo
+author: John Snow Labs
+name: korean_clickbait_news_classifier_xlm_roberta_base
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`korean_clickbait_news_classifier_xlm_roberta_base` is a English model originally trained by Hyeonseo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/korean_clickbait_news_classifier_xlm_roberta_base_en_5.5.0_3.0_1726721314483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/korean_clickbait_news_classifier_xlm_roberta_base_en_5.5.0_3.0_1726721314483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|korean_clickbait_news_classifier_xlm_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|805.5 MB|
+
+## References
+
+https://huggingface.co/Hyeonseo/ko-clickbait_news_classifier-xlm_roberta_base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-m4_team10_en.md b/docs/_posts/ahmedlone127/2024-09-19-m4_team10_en.md
new file mode 100644
index 00000000000000..af7907b7ff94ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-m4_team10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English m4_team10 DistilBertForSequenceClassification from davemikebrooks
+author: John Snow Labs
+name: m4_team10
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`m4_team10` is a English model originally trained by davemikebrooks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/m4_team10_en_5.5.0_3.0_1726740790327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/m4_team10_en_5.5.0_3.0_1726740790327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|m4_team10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/davemikebrooks/M4_Team10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-m4_team10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-m4_team10_pipeline_en.md
new file mode 100644
index 00000000000000..6adf468d00ffcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-m4_team10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English m4_team10_pipeline pipeline DistilBertForSequenceClassification from davemikebrooks
+author: John Snow Labs
+name: m4_team10_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`m4_team10_pipeline` is a English model originally trained by davemikebrooks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/m4_team10_pipeline_en_5.5.0_3.0_1726740803456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/m4_team10_pipeline_en_5.5.0_3.0_1726740803456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("m4_team10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("m4_team10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|m4_team10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/davemikebrooks/M4_Team10
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-marathi_marh_small_whisper_oi_mr.md b/docs/_posts/ahmedlone127/2024-09-19-marathi_marh_small_whisper_oi_mr.md
new file mode 100644
index 00000000000000..6eefea728dd5b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-marathi_marh_small_whisper_oi_mr.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Marathi marathi_marh_small_whisper_oi WhisperForCTC from simran14
+author: John Snow Labs
+name: marathi_marh_small_whisper_oi
+date: 2024-09-19
+tags: [mr, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathi_marh_small_whisper_oi` is a Marathi model originally trained by simran14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_marh_small_whisper_oi_mr_5.5.0_3.0_1726713047747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_marh_small_whisper_oi_mr_5.5.0_3.0_1726713047747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_marh_small_whisper_oi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|mr|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/simran14/mr-small-whisper-oi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-mbert_base_parsinlu_entailment_fa.md b/docs/_posts/ahmedlone127/2024-09-19-mbert_base_parsinlu_entailment_fa.md
new file mode 100644
index 00000000000000..6551986d2f4544
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-mbert_base_parsinlu_entailment_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian mbert_base_parsinlu_entailment BertForSequenceClassification from persiannlp
+author: John Snow Labs
+name: mbert_base_parsinlu_entailment
+date: 2024-09-19
+tags: [fa, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_base_parsinlu_entailment` is a Persian model originally trained by persiannlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_base_parsinlu_entailment_fa_5.5.0_3.0_1726735915614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_base_parsinlu_entailment_fa_5.5.0_3.0_1726735915614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_base_parsinlu_entailment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|fa|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/persiannlp/mbert-base-parsinlu-entailment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-mbert_base_parsinlu_entailment_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-19-mbert_base_parsinlu_entailment_pipeline_fa.md
new file mode 100644
index 00000000000000..7336d7d506ae81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-mbert_base_parsinlu_entailment_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian mbert_base_parsinlu_entailment_pipeline pipeline BertForSequenceClassification from persiannlp
+author: John Snow Labs
+name: mbert_base_parsinlu_entailment_pipeline
+date: 2024-09-19
+tags: [fa, open_source, pipeline, onnx]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_base_parsinlu_entailment_pipeline` is a Persian model originally trained by persiannlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_base_parsinlu_entailment_pipeline_fa_5.5.0_3.0_1726735948364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_base_parsinlu_entailment_pipeline_fa_5.5.0_3.0_1726735948364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mbert_base_parsinlu_entailment_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mbert_base_parsinlu_entailment_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_base_parsinlu_entailment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/persiannlp/mbert-base-parsinlu-entailment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-mdt_ie_ner_baseline_en.md b/docs/_posts/ahmedlone127/2024-09-19-mdt_ie_ner_baseline_en.md
new file mode 100644
index 00000000000000..5fd01ba6cd3d7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-mdt_ie_ner_baseline_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mdt_ie_ner_baseline XlmRoBertaForTokenClassification from OSainz
+author: John Snow Labs
+name: mdt_ie_ner_baseline
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mdt_ie_ner_baseline` is a English model originally trained by OSainz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mdt_ie_ner_baseline_en_5.5.0_3.0_1726754634629.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mdt_ie_ner_baseline_en_5.5.0_3.0_1726754634629.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mdt_ie_ner_baseline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|789.5 MB|
+
+## References
+
+https://huggingface.co/OSainz/mdt-ie-ner-baseline
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-mental_health_model_ilabutk_en.md b/docs/_posts/ahmedlone127/2024-09-19-mental_health_model_ilabutk_en.md
new file mode 100644
index 00000000000000..f9bea583aaa474
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-mental_health_model_ilabutk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mental_health_model_ilabutk DistilBertForSequenceClassification from iLabUtk
+author: John Snow Labs
+name: mental_health_model_ilabutk
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mental_health_model_ilabutk` is a English model originally trained by iLabUtk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mental_health_model_ilabutk_en_5.5.0_3.0_1726743072099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mental_health_model_ilabutk_en_5.5.0_3.0_1726743072099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mitre_bert_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|108.5 MB|
+
+## References
+
+https://huggingface.co/bencyc1129/mitre-bert-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-mitre_bert_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-mitre_bert_small_pipeline_en.md
new file mode 100644
index 00000000000000..26decda53dfdf6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-mitre_bert_small_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mitre_bert_small_pipeline pipeline BertEmbeddings from bencyc1129
+author: John Snow Labs
+name: mitre_bert_small_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mitre_bert_small_pipeline` is a English model originally trained by bencyc1129.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mitre_bert_small_pipeline_en_5.5.0_3.0_1726734686906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mitre_bert_small_pipeline_en_5.5.0_3.0_1726734686906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mitre_bert_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mitre_bert_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mitre_bert_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|108.5 MB|
+
+## References
+
+https://huggingface.co/bencyc1129/mitre-bert-small
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-movie_overview_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-movie_overview_classification_pipeline_en.md
new file mode 100644
index 00000000000000..a5fd25587e5288
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-movie_overview_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English movie_overview_classification_pipeline pipeline DistilBertForSequenceClassification from mocboch
+author: John Snow Labs
+name: movie_overview_classification_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movie_overview_classification_pipeline` is a English model originally trained by mocboch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_overview_classification_pipeline_en_5.5.0_3.0_1726741127582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_overview_classification_pipeline_en_5.5.0_3.0_1726741127582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("movie_overview_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("movie_overview_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_overview_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mocboch/movie_overview_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-mpe_roberta_l_en.md b/docs/_posts/ahmedlone127/2024-09-19-mpe_roberta_l_en.md
new file mode 100644
index 00000000000000..f29b1650899eb0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-mpe_roberta_l_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mpe_roberta_l RoBertaForSequenceClassification from veronica320
+author: John Snow Labs
+name: mpe_roberta_l
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mpe_roberta_l` is a English model originally trained by veronica320.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpe_roberta_l_en_5.5.0_3.0_1726750435852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpe_roberta_l_en_5.5.0_3.0_1726750435852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpe_roberta_l|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/veronica320/MPE_roberta-l
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-mpe_roberta_l_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-mpe_roberta_l_pipeline_en.md
new file mode 100644
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+---
+layout: model
+title: English mpe_roberta_l_pipeline pipeline RoBertaForSequenceClassification from veronica320
+author: John Snow Labs
+name: mpe_roberta_l_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mpe_roberta_l_pipeline` is a English model originally trained by veronica320.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpe_roberta_l_pipeline_en_5.5.0_3.0_1726750519974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpe_roberta_l_pipeline_en_5.5.0_3.0_1726750519974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mpe_roberta_l_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mpe_roberta_l_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpe_roberta_l_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/veronica320/MPE_roberta-l
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-multilingual_xlm_roberta_for_ner_ertyazilim_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-19-multilingual_xlm_roberta_for_ner_ertyazilim_pipeline_xx.md
new file mode 100644
index 00000000000000..4b2e33bcca8dfb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-multilingual_xlm_roberta_for_ner_ertyazilim_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual multilingual_xlm_roberta_for_ner_ertyazilim_pipeline pipeline XlmRoBertaForTokenClassification from ertyazilim
+author: John Snow Labs
+name: multilingual_xlm_roberta_for_ner_ertyazilim_pipeline
+date: 2024-09-19
+tags: [xx, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multilingual_xlm_roberta_for_ner_ertyazilim_pipeline` is a Multilingual model originally trained by ertyazilim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multilingual_xlm_roberta_for_ner_ertyazilim_pipeline_xx_5.5.0_3.0_1726737511332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multilingual_xlm_roberta_for_ner_ertyazilim_pipeline_xx_5.5.0_3.0_1726737511332.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multilingual_xlm_roberta_for_ner_ertyazilim_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multilingual_xlm_roberta_for_ner_ertyazilim_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multilingual_xlm_roberta_for_ner_ertyazilim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/ertyazilim/multilingual-xlm-roberta-for-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-ndd_claroline_test_tags_en.md b/docs/_posts/ahmedlone127/2024-09-19-ndd_claroline_test_tags_en.md
new file mode 100644
index 00000000000000..1efe9f0fb47cc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-ndd_claroline_test_tags_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ndd_claroline_test_tags DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: ndd_claroline_test_tags
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ndd_claroline_test_tags` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ndd_claroline_test_tags_en_5.5.0_3.0_1726742410748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ndd_claroline_test_tags_en_5.5.0_3.0_1726742410748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ndd_claroline_test_tags|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/NDD-claroline_test-tags
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-ner_chunkyun_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-ner_chunkyun_pipeline_en.md
new file mode 100644
index 00000000000000..5ec747249a7ab7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-ner_chunkyun_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_chunkyun_pipeline pipeline RoBertaForTokenClassification from Chunkyun
+author: John Snow Labs
+name: ner_chunkyun_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_chunkyun_pipeline` is a English model originally trained by Chunkyun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_chunkyun_pipeline_en_5.5.0_3.0_1726730658859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_chunkyun_pipeline_en_5.5.0_3.0_1726730658859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_chunkyun_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_chunkyun_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_chunkyun_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.1 MB|
+
+## References
+
+https://huggingface.co/Chunkyun/ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en.md
new file mode 100644
index 00000000000000..18c6dd51b81ee1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nerd_nerd_random1_seed2_twitter_roberta_base_2022_154m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random1_seed2_twitter_roberta_base_2022_154m_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random1_seed2_twitter_roberta_base_2022_154m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en_5.5.0_3.0_1726750811489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en_5.5.0_3.0_1726750811489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nerd_nerd_random1_seed2_twitter_roberta_base_2022_154m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nerd_nerd_random1_seed2_twitter_roberta_base_2022_154m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random1_seed2_twitter_roberta_base_2022_154m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random1_seed2-twitter-roberta-base-2022-154m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 00000000000000..0629a060614677
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_en_5.5.0_3.0_1726751464990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_en_5.5.0_3.0_1726751464990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random1_seed2-twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_pipeline_en.md
new file mode 100644
index 00000000000000..0617b1e45bf05b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_pipeline_en_5.5.0_3.0_1726751529171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_pipeline_en_5.5.0_3.0_1726751529171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random1_seed2_twitter_roberta_large_2022_154m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random1_seed2-twitter-roberta-large-2022-154m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_en.md b/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_en.md
new file mode 100644
index 00000000000000..abef83bb8e1966
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_en_5.5.0_3.0_1726750580177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_en_5.5.0_3.0_1726750580177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random2_seed0-twitter-roberta-base-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-neuronale_crew_a6_en.md b/docs/_posts/ahmedlone127/2024-09-19-neuronale_crew_a6_en.md
new file mode 100644
index 00000000000000..f20c398b944d16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-neuronale_crew_a6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English neuronale_crew_a6 DistilBertForSequenceClassification from ninjeanne-hka
+author: John Snow Labs
+name: neuronale_crew_a6
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`neuronale_crew_a6` is a English model originally trained by ninjeanne-hka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/neuronale_crew_a6_en_5.5.0_3.0_1726743540243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/neuronale_crew_a6_en_5.5.0_3.0_1726743540243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|neuronale_crew_a6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ninjeanne-hka/neuronale_crew_a6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-nlp2_base_3e_5_davine_en.md b/docs/_posts/ahmedlone127/2024-09-19-nlp2_base_3e_5_davine_en.md
new file mode 100644
index 00000000000000..f8074686c06ecb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-nlp2_base_3e_5_davine_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp2_base_3e_5_davine DistilBertForSequenceClassification from Davine
+author: John Snow Labs
+name: nlp2_base_3e_5_davine
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp2_base_3e_5_davine` is a English model originally trained by Davine.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp2_base_3e_5_davine_en_5.5.0_3.0_1726743962537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp2_base_3e_5_davine_en_5.5.0_3.0_1726743962537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp2_base_3e_5_davine|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Davine/NLP2_Base_3e-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-nlp2_base_3e_5_davine_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-nlp2_base_3e_5_davine_pipeline_en.md
new file mode 100644
index 00000000000000..1fe2e975c2b268
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-nlp2_base_3e_5_davine_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlp2_base_3e_5_davine_pipeline pipeline DistilBertForSequenceClassification from Davine
+author: John Snow Labs
+name: nlp2_base_3e_5_davine_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp2_base_3e_5_davine_pipeline` is a English model originally trained by Davine.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp2_base_3e_5_davine_pipeline_en_5.5.0_3.0_1726743980323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp2_base_3e_5_davine_pipeline_en_5.5.0_3.0_1726743980323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp2_base_3e_5_davine_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp2_base_3e_5_davine_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp2_base_3e_5_davine_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Davine/NLP2_Base_3e-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-odsc_sawyer_reward_en.md b/docs/_posts/ahmedlone127/2024-09-19-odsc_sawyer_reward_en.md
new file mode 100644
index 00000000000000..9a3fd5a306cc41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-odsc_sawyer_reward_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English odsc_sawyer_reward RoBertaForSequenceClassification from profoz
+author: John Snow Labs
+name: odsc_sawyer_reward
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`odsc_sawyer_reward` is a English model originally trained by profoz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/odsc_sawyer_reward_en_5.5.0_3.0_1726726225622.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/odsc_sawyer_reward_en_5.5.0_3.0_1726726225622.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|openai_whisper_small_spanish_ecu911_pasobajo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|es|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/DanielMarquez/openai-whisper-small-es_ecu911-PasoBajo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-openai_whisper_small_spanish_ecu911_pasobajo_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-19-openai_whisper_small_spanish_ecu911_pasobajo_pipeline_es.md
new file mode 100644
index 00000000000000..abc57b030bc1d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-openai_whisper_small_spanish_ecu911_pasobajo_pipeline_es.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Castilian, Spanish openai_whisper_small_spanish_ecu911_pasobajo_pipeline pipeline WhisperForCTC from DanielMarquez
+author: John Snow Labs
+name: openai_whisper_small_spanish_ecu911_pasobajo_pipeline
+date: 2024-09-19
+tags: [es, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`openai_whisper_small_spanish_ecu911_pasobajo_pipeline` is a Castilian, Spanish model originally trained by DanielMarquez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/openai_whisper_small_spanish_ecu911_pasobajo_pipeline_es_5.5.0_3.0_1726788262478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/openai_whisper_small_spanish_ecu911_pasobajo_pipeline_es_5.5.0_3.0_1726788262478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("openai_whisper_small_spanish_ecu911_pasobajo_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("openai_whisper_small_spanish_ecu911_pasobajo_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|openai_whisper_small_spanish_ecu911_pasobajo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/DanielMarquez/openai-whisper-small-es_ecu911-PasoBajo
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-paludistilbert_en.md b/docs/_posts/ahmedlone127/2024-09-19-paludistilbert_en.md
new file mode 100644
index 00000000000000..0798757e7f757e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-paludistilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English paludistilbert DistilBertForSequenceClassification from Palu001
+author: John Snow Labs
+name: paludistilbert
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`paludistilbert` is a English model originally trained by Palu001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paludistilbert_en_5.5.0_3.0_1726742571781.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paludistilbert_en_5.5.0_3.0_1726742571781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pari_features_fine_tuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+References
+
+https://huggingface.co/eboubetana/pari-features-fine-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-pari_features_fine_tuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-pari_features_fine_tuned_pipeline_en.md
new file mode 100644
index 00000000000000..6fb17dadfb1c9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-pari_features_fine_tuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English pari_features_fine_tuned_pipeline pipeline BertForSequenceClassification from eboubetanatherappx
+author: John Snow Labs
+name: pari_features_fine_tuned_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pari_features_fine_tuned_pipeline` is a English model originally trained by eboubetanatherappx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pari_features_fine_tuned_pipeline_en_5.5.0_3.0_1726770647594.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pari_features_fine_tuned_pipeline_en_5.5.0_3.0_1726770647594.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pari_features_fine_tuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pari_features_fine_tuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pari_features_fine_tuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/eboubetanatherappx/pari-features-fine-tuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-phishing_email_detection_sender_en.md b/docs/_posts/ahmedlone127/2024-09-19-phishing_email_detection_sender_en.md
new file mode 100644
index 00000000000000..94a170cced173c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-phishing_email_detection_sender_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phishing_email_detection_sender DistilBertForSequenceClassification from kamikaze20
+author: John Snow Labs
+name: phishing_email_detection_sender
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phishing_email_detection_sender` is a English model originally trained by kamikaze20.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phishing_email_detection_sender_en_5.5.0_3.0_1726704235384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phishing_email_detection_sender_en_5.5.0_3.0_1726704235384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phishing_email_detection_sender|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/kamikaze20/phishing-email-detection_sender
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-platzi_distilroberta_base_mrpc_glue_gabriel_salazar_en.md b/docs/_posts/ahmedlone127/2024-09-19-platzi_distilroberta_base_mrpc_glue_gabriel_salazar_en.md
new file mode 100644
index 00000000000000..a1b3c1eb6d910b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-platzi_distilroberta_base_mrpc_glue_gabriel_salazar_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_gabriel_salazar RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_gabriel_salazar
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_glue_gabriel_salazar` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_gabriel_salazar_en_5.5.0_3.0_1726750380985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_gabriel_salazar_en_5.5.0_3.0_1726750380985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue_gabriel_salazar|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/platzi/platzi-distilroberta-base-mrpc-glue-gabriel-salazar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-platzi_distilroberta_base_mrpc_glue_gabriel_salazar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-platzi_distilroberta_base_mrpc_glue_gabriel_salazar_pipeline_en.md
new file mode 100644
index 00000000000000..e65130846aed7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-platzi_distilroberta_base_mrpc_glue_gabriel_salazar_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_gabriel_salazar_pipeline pipeline RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_gabriel_salazar_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_glue_gabriel_salazar_pipeline` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_gabriel_salazar_pipeline_en_5.5.0_3.0_1726750395870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_gabriel_salazar_pipeline_en_5.5.0_3.0_1726750395870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("platzi_distilroberta_base_mrpc_glue_gabriel_salazar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("platzi_distilroberta_base_mrpc_glue_gabriel_salazar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue_gabriel_salazar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/platzi/platzi-distilroberta-base-mrpc-glue-gabriel-salazar
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-pmp_h768_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-19-pmp_h768_pipeline_zh.md
new file mode 100644
index 00000000000000..e06a6d9b2f5b4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-pmp_h768_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese pmp_h768_pipeline pipeline BertForTokenClassification from rickltt
+author: John Snow Labs
+name: pmp_h768_pipeline
+date: 2024-09-19
+tags: [zh, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pmp_h768_pipeline` is a Chinese model originally trained by rickltt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pmp_h768_pipeline_zh_5.5.0_3.0_1726771440422.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pmp_h768_pipeline_zh_5.5.0_3.0_1726771440422.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pmp_h768_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pmp_h768_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pmp_h768_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|221.9 MB|
+
+## References
+
+https://huggingface.co/rickltt/pmp-h768
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-polarizer_bert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-polarizer_bert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..94718bf053d86a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-polarizer_bert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English polarizer_bert_base_uncased_pipeline pipeline BertEmbeddings from kyungmin011029
+author: John Snow Labs
+name: polarizer_bert_base_uncased_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`polarizer_bert_base_uncased_pipeline` is a English model originally trained by kyungmin011029.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/polarizer_bert_base_uncased_pipeline_en_5.5.0_3.0_1726744775719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/polarizer_bert_base_uncased_pipeline_en_5.5.0_3.0_1726744775719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("polarizer_bert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("polarizer_bert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|polarizer_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/kyungmin011029/Polarizer-bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-psychbert_finetuned_multiclass_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-psychbert_finetuned_multiclass_pipeline_en.md
new file mode 100644
index 00000000000000..b65f9d1f873149
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-psychbert_finetuned_multiclass_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English psychbert_finetuned_multiclass_pipeline pipeline BertForSequenceClassification from mnaylor
+author: John Snow Labs
+name: psychbert_finetuned_multiclass_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`psychbert_finetuned_multiclass_pipeline` is a English model originally trained by mnaylor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/psychbert_finetuned_multiclass_pipeline_en_5.5.0_3.0_1726707303326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/psychbert_finetuned_multiclass_pipeline_en_5.5.0_3.0_1726707303326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("psychbert_finetuned_multiclass_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("psychbert_finetuned_multiclass_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|psychbert_finetuned_multiclass_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/mnaylor/psychbert-finetuned-multiclass
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-ptcrawl_base_v2_5__checkpoint_2_26000_en.md b/docs/_posts/ahmedlone127/2024-09-19-ptcrawl_base_v2_5__checkpoint_2_26000_en.md
new file mode 100644
index 00000000000000..8ad999e9f9e4bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-ptcrawl_base_v2_5__checkpoint_2_26000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ptcrawl_base_v2_5__checkpoint_2_26000 RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: ptcrawl_base_v2_5__checkpoint_2_26000
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ptcrawl_base_v2_5__checkpoint_2_26000` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ptcrawl_base_v2_5__checkpoint_2_26000_en_5.5.0_3.0_1726749375912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ptcrawl_base_v2_5__checkpoint_2_26000_en_5.5.0_3.0_1726749375912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ptcrawl_base_v2_5__checkpoint_2_26000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|296.6 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/ptcrawl_base-v2_5__checkpoint_2_26000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-pubchem10m_smiles_bpe_450k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-pubchem10m_smiles_bpe_450k_pipeline_en.md
new file mode 100644
index 00000000000000..2a2389a7c44a38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-pubchem10m_smiles_bpe_450k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English pubchem10m_smiles_bpe_450k_pipeline pipeline RoBertaEmbeddings from seyonec
+author: John Snow Labs
+name: pubchem10m_smiles_bpe_450k_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pubchem10m_smiles_bpe_450k_pipeline` is a English model originally trained by seyonec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pubchem10m_smiles_bpe_450k_pipeline_en_5.5.0_3.0_1726778221484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pubchem10m_smiles_bpe_450k_pipeline_en_5.5.0_3.0_1726778221484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pubchem10m_smiles_bpe_450k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pubchem10m_smiles_bpe_450k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pubchem10m_smiles_bpe_450k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|311.0 MB|
+
+## References
+
+https://huggingface.co/seyonec/PubChem10M_SMILES_BPE_450k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-qa_mod_2_en.md b/docs/_posts/ahmedlone127/2024-09-19-qa_mod_2_en.md
new file mode 100644
index 00000000000000..8882fae68233b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-qa_mod_2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English qa_mod_2 DistilBertForQuestionAnswering from DianeChiang
+author: John Snow Labs
+name: qa_mod_2
+date: 2024-09-19
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_mod_2` is a English model originally trained by DianeChiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_mod_2_en_5.5.0_3.0_1726727858561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_mod_2_en_5.5.0_3.0_1726727858561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_mod_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/DianeChiang/qa_mod_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-qa_mod_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-qa_mod_2_pipeline_en.md
new file mode 100644
index 00000000000000..71aa8afa2fc329
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-qa_mod_2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English qa_mod_2_pipeline pipeline DistilBertForQuestionAnswering from DianeChiang
+author: John Snow Labs
+name: qa_mod_2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_mod_2_pipeline` is a English model originally trained by DianeChiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_mod_2_pipeline_en_5.5.0_3.0_1726727871117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_mod_2_pipeline_en_5.5.0_3.0_1726727871117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qa_mod_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qa_mod_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_mod_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/DianeChiang/qa_mod_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-reduplication_repetition_xlmr_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-reduplication_repetition_xlmr_v1_pipeline_en.md
new file mode 100644
index 00000000000000..11a4618688d7d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-reduplication_repetition_xlmr_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English reduplication_repetition_xlmr_v1_pipeline pipeline XlmRoBertaForTokenClassification from theArif
+author: John Snow Labs
+name: reduplication_repetition_xlmr_v1_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`reduplication_repetition_xlmr_v1_pipeline` is a English model originally trained by theArif.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/reduplication_repetition_xlmr_v1_pipeline_en_5.5.0_3.0_1726711150005.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/reduplication_repetition_xlmr_v1_pipeline_en_5.5.0_3.0_1726711150005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("reduplication_repetition_xlmr_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("reduplication_repetition_xlmr_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|reduplication_repetition_xlmr_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|789.6 MB|
+
+## References
+
+https://huggingface.co/theArif/reduplication-repetition-xlmr-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-regr_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-regr_2_pipeline_en.md
new file mode 100644
index 00000000000000..93a3eef722283c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-regr_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English regr_2_pipeline pipeline RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: regr_2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`regr_2_pipeline` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/regr_2_pipeline_en_5.5.0_3.0_1726780204049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/regr_2_pipeline_en_5.5.0_3.0_1726780204049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("regr_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("regr_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|regr_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/BaronSch/Regr_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_ancient_greek_mlm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_ancient_greek_mlm_pipeline_en.md
new file mode 100644
index 00000000000000..f8d6a1003b8133
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_ancient_greek_mlm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_ancient_greek_mlm_pipeline pipeline RoBertaEmbeddings from wantuta
+author: John Snow Labs
+name: roberta_ancient_greek_mlm_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_ancient_greek_mlm_pipeline` is a English model originally trained by wantuta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_ancient_greek_mlm_pipeline_en_5.5.0_3.0_1726747482312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_ancient_greek_mlm_pipeline_en_5.5.0_3.0_1726747482312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_ancient_greek_mlm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_ancient_greek_mlm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_ancient_greek_mlm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/wantuta/roberta_ancient_greek_mlm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_aptner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_aptner_pipeline_en.md
new file mode 100644
index 00000000000000..a9e7c1330ecfde
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_aptner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_aptner_pipeline pipeline RoBertaForTokenClassification from Cyber-ThreaD
+author: John Snow Labs
+name: roberta_aptner_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_aptner_pipeline` is a English model originally trained by Cyber-ThreaD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_aptner_pipeline_en_5.5.0_3.0_1726731209314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_aptner_pipeline_en_5.5.0_3.0_1726731209314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_aptner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_aptner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_aptner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|430.3 MB|
+
+## References
+
+https://huggingface.co/Cyber-ThreaD/RoBERTa-APTNER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_128_factchecker_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_128_factchecker_en.md
new file mode 100644
index 00000000000000..6c40f990982d52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_128_factchecker_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_128_factchecker RoBertaEmbeddings from Rallio67
+author: John Snow Labs
+name: roberta_base_128_factchecker
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_128_factchecker` is a English model originally trained by Rallio67.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_128_factchecker_en_5.5.0_3.0_1726749202919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_128_factchecker_en_5.5.0_3.0_1726749202919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_128_factchecker|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.1 MB|
+
+## References
+
+https://huggingface.co/Rallio67/roberta-base-128-factchecker
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_128_factchecker_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_128_factchecker_pipeline_en.md
new file mode 100644
index 00000000000000..a7de5b1b91ead2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_128_factchecker_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_128_factchecker_pipeline pipeline RoBertaEmbeddings from Rallio67
+author: John Snow Labs
+name: roberta_base_128_factchecker_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_128_factchecker_pipeline` is a English model originally trained by Rallio67.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_128_factchecker_pipeline_en_5.5.0_3.0_1726749294660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_128_factchecker_pipeline_en_5.5.0_3.0_1726749294660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_128_factchecker_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_128_factchecker_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_128_factchecker_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.2 MB|
+
+## References
+
+https://huggingface.co/Rallio67/roberta-base-128-factchecker
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_bne_finetuned_amazon_reviews_spanish_02_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_bne_finetuned_amazon_reviews_spanish_02_en.md
new file mode 100644
index 00000000000000..98ed4c1bdc7415
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_bne_finetuned_amazon_reviews_spanish_02_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_spanish_02 RoBertaForSequenceClassification from DevCar
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_spanish_02
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_spanish_02` is a English model originally trained by DevCar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_spanish_02_en_5.5.0_3.0_1726750872841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_spanish_02_en_5.5.0_3.0_1726750872841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_spanish_02|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|453.9 MB|
+
+## References
+
+https://huggingface.co/DevCar/roberta-base-bne-finetuned-amazon_reviews_es_02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_cdconv_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_cdconv_pipeline_zh.md
new file mode 100644
index 00000000000000..b7c4757cfac0bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_cdconv_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese roberta_base_cdconv_pipeline pipeline BertForSequenceClassification from thu-coai
+author: John Snow Labs
+name: roberta_base_cdconv_pipeline
+date: 2024-09-19
+tags: [zh, open_source, pipeline, onnx]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_cdconv_pipeline` is a Chinese model originally trained by thu-coai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_cdconv_pipeline_zh_5.5.0_3.0_1726782278053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_cdconv_pipeline_zh_5.5.0_3.0_1726782278053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_cdconv_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_cdconv_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_cdconv_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|383.2 MB|
+
+## References
+
+https://huggingface.co/thu-coai/roberta-base-cdconv
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_cdconv_zh.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_cdconv_zh.md
new file mode 100644
index 00000000000000..6a763109ac4f29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_cdconv_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese roberta_base_cdconv BertForSequenceClassification from thu-coai
+author: John Snow Labs
+name: roberta_base_cdconv
+date: 2024-09-19
+tags: [zh, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_cdconv` is a Chinese model originally trained by thu-coai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_cdconv_zh_5.5.0_3.0_1726782260828.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_cdconv_zh_5.5.0_3.0_1726782260828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_59|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_59
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_59_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_59_pipeline_en.md
new file mode 100644
index 00000000000000..62b35f29179563
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_59_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_59_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_59_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_59_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_59_pipeline_en_5.5.0_3.0_1726749844994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_59_pipeline_en_5.5.0_3.0_1726749844994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_59_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_59_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_59_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_59
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_61_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_61_en.md
new file mode 100644
index 00000000000000..988fe5e4029339
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_61_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_61 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_61
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_61` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_61_en_5.5.0_3.0_1726778517677.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_61_en_5.5.0_3.0_1726778517677.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_63|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_63
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_63_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_63_pipeline_en.md
new file mode 100644
index 00000000000000..636a7dac43843e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_63_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_63_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_63_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_63_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_63_pipeline_en_5.5.0_3.0_1726749657329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_63_pipeline_en_5.5.0_3.0_1726749657329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_63_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_63_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_63_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_63
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_en.md
new file mode 100644
index 00000000000000..3698e6c8f3a225
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8 RoBertaForSequenceClassification from kghanlon
+author: John Snow Labs
+name: roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8` is a English model originally trained by kghanlon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_en_5.5.0_3.0_1726726145771.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_en_5.5.0_3.0_1726726145771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|358.0 MB|
+
+## References
+
+https://huggingface.co/kghanlon/roberta-base-finetuned-MP-unannotated-half-frozen-v1-RILE-v1_frozen_8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_ner_minhminh09_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_ner_minhminh09_en.md
new file mode 100644
index 00000000000000..71eea2ff32b9e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_ner_minhminh09_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_ner_minhminh09 RoBertaForTokenClassification from MinhMinh09
+author: John Snow Labs
+name: roberta_base_finetuned_ner_minhminh09
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_ner_minhminh09` is a English model originally trained by MinhMinh09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ner_minhminh09_en_5.5.0_3.0_1726729921712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ner_minhminh09_en_5.5.0_3.0_1726729921712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_ner_minhminh09|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|419.0 MB|
+
+## References
+
+https://huggingface.co/MinhMinh09/roberta-base-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_ner_tqoyiwcvwkephzdgsp_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_ner_tqoyiwcvwkephzdgsp_en.md
new file mode 100644
index 00000000000000..8230f89b6177df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_ner_tqoyiwcvwkephzdgsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_ner_tqoyiwcvwkephzdgsp RoBertaForTokenClassification from tqoyiwcvwkephzdgsp
+author: John Snow Labs
+name: roberta_base_finetuned_ner_tqoyiwcvwkephzdgsp
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_ner_tqoyiwcvwkephzdgsp` is a English model originally trained by tqoyiwcvwkephzdgsp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ner_tqoyiwcvwkephzdgsp_en_5.5.0_3.0_1726730537741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ner_tqoyiwcvwkephzdgsp_en_5.5.0_3.0_1726730537741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_news|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/judy93536/roberta-base-finetuned-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_news_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_news_pipeline_en.md
new file mode 100644
index 00000000000000..1e05a62dd1b718
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_news_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_news_pipeline pipeline RoBertaEmbeddings from judy93536
+author: John Snow Labs
+name: roberta_base_finetuned_news_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_news_pipeline` is a English model originally trained by judy93536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_news_pipeline_en_5.5.0_3.0_1726748877137.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_news_pipeline_en_5.5.0_3.0_1726748877137.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_news_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_news_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_news_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/judy93536/roberta-base-finetuned-news
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_on_craigslist_bargains_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_on_craigslist_bargains_en.md
new file mode 100644
index 00000000000000..608dee1adf9691
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_on_craigslist_bargains_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_on_craigslist_bargains RoBertaEmbeddings from EymenKc
+author: John Snow Labs
+name: roberta_base_finetuned_on_craigslist_bargains
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_on_craigslist_bargains` is a English model originally trained by EymenKc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_on_craigslist_bargains_en_5.5.0_3.0_1726749357590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_on_craigslist_bargains_en_5.5.0_3.0_1726749357590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_on_craigslist_bargains|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/EymenKc/roberta-base-finetuned-on-craigslist-bargains
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_on_craigslist_bargains_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_on_craigslist_bargains_pipeline_en.md
new file mode 100644
index 00000000000000..fb9b390a4fa391
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_on_craigslist_bargains_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_on_craigslist_bargains_pipeline pipeline RoBertaEmbeddings from EymenKc
+author: John Snow Labs
+name: roberta_base_finetuned_on_craigslist_bargains_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_on_craigslist_bargains_pipeline` is a English model originally trained by EymenKc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_on_craigslist_bargains_pipeline_en_5.5.0_3.0_1726749380284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_on_craigslist_bargains_pipeline_en_5.5.0_3.0_1726749380284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_on_craigslist_bargains_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_on_craigslist_bargains_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_on_craigslist_bargains_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/EymenKc/roberta-base-finetuned-on-craigslist-bargains
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_ring_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_ring_pipeline_en.md
new file mode 100644
index 00000000000000..e71a8c49c7ad58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_ring_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_ring_pipeline pipeline RoBertaForSequenceClassification from Cournane
+author: John Snow Labs
+name: roberta_base_finetuned_ring_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_ring_pipeline` is a English model originally trained by Cournane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ring_pipeline_en_5.5.0_3.0_1726750767079.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ring_pipeline_en_5.5.0_3.0_1726750767079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_ring_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_ring_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_ring_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|427.2 MB|
+
+## References
+
+https://huggingface.co/Cournane/roberta-base-finetuned-Ring
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_hoax_classifier_fulltext_1h2r_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_hoax_classifier_fulltext_1h2r_pipeline_en.md
new file mode 100644
index 00000000000000..1b805722143520
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_hoax_classifier_fulltext_1h2r_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_hoax_classifier_fulltext_1h2r_pipeline pipeline RoBertaForSequenceClassification from research-dump
+author: John Snow Labs
+name: roberta_base_hoax_classifier_fulltext_1h2r_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_hoax_classifier_fulltext_1h2r_pipeline` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_hoax_classifier_fulltext_1h2r_pipeline_en_5.5.0_3.0_1726750333031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_hoax_classifier_fulltext_1h2r_pipeline_en_5.5.0_3.0_1726750333031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_hoax_classifier_fulltext_1h2r_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_hoax_classifier_fulltext_1h2r_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_hoax_classifier_fulltext_1h2r_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|456.1 MB|
+
+## References
+
+https://huggingface.co/research-dump/roberta-base_hoax_classifier_fulltext_1h2r
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_ner_demo_dizu1113_pipeline_mn.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_ner_demo_dizu1113_pipeline_mn.md
new file mode 100644
index 00000000000000..94a0b4856d2e35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_ner_demo_dizu1113_pipeline_mn.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Mongolian roberta_base_ner_demo_dizu1113_pipeline pipeline RoBertaForTokenClassification from dizu1113
+author: John Snow Labs
+name: roberta_base_ner_demo_dizu1113_pipeline
+date: 2024-09-19
+tags: [mn, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: mn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ner_demo_dizu1113_pipeline` is a Mongolian model originally trained by dizu1113.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ner_demo_dizu1113_pipeline_mn_5.5.0_3.0_1726731347970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ner_demo_dizu1113_pipeline_mn_5.5.0_3.0_1726731347970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_ner_demo_dizu1113_pipeline", lang = "mn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_ner_demo_dizu1113_pipeline", lang = "mn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ner_demo_dizu1113_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mn|
+|Size:|465.7 MB|
+
+## References
+
+https://huggingface.co/dizu1113/roberta-base-ner-demo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_ner_demo_turshilt1_mn.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_ner_demo_turshilt1_mn.md
new file mode 100644
index 00000000000000..e1f1d974ffd76c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_ner_demo_turshilt1_mn.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Mongolian roberta_base_ner_demo_turshilt1 RoBertaForTokenClassification from sanchirjav
+author: John Snow Labs
+name: roberta_base_ner_demo_turshilt1
+date: 2024-09-19
+tags: [mn, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: mn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ner_demo_turshilt1` is a Mongolian model originally trained by sanchirjav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ner_demo_turshilt1_mn_5.5.0_3.0_1726731193530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ner_demo_turshilt1_mn_5.5.0_3.0_1726731193530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_pronouns|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/thefrigidliquidation/roberta-base-pronouns
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_pronouns_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_pronouns_pipeline_en.md
new file mode 100644
index 00000000000000..e1f6e50835a502
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_pronouns_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_pronouns_pipeline pipeline RoBertaEmbeddings from thefrigidliquidation
+author: John Snow Labs
+name: roberta_base_pronouns_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_pronouns_pipeline` is a English model originally trained by thefrigidliquidation.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_pronouns_pipeline_en_5.5.0_3.0_1726749133975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_pronouns_pipeline_en_5.5.0_3.0_1726749133975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_pronouns_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_pronouns_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_pronouns_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/thefrigidliquidation/roberta-base-pronouns
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_task2_fact_updates_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_task2_fact_updates_en.md
new file mode 100644
index 00000000000000..3f1b22a7c4337a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_task2_fact_updates_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_task2_fact_updates RoBertaForSequenceClassification from rishavranaut
+author: John Snow Labs
+name: roberta_base_task2_fact_updates
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_task2_fact_updates` is a English model originally trained by rishavranaut.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_task2_fact_updates_en_5.5.0_3.0_1726732487706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_task2_fact_updates_en_5.5.0_3.0_1726732487706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_conll_epoch_6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/RoBERTa_conll_epoch_6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_covid_sentimental_analysis_classifier_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_covid_sentimental_analysis_classifier_1_pipeline_en.md
new file mode 100644
index 00000000000000..7b8d0251e1ca11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_covid_sentimental_analysis_classifier_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_covid_sentimental_analysis_classifier_1_pipeline pipeline RoBertaForSequenceClassification from gyesibiney
+author: John Snow Labs
+name: roberta_covid_sentimental_analysis_classifier_1_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_covid_sentimental_analysis_classifier_1_pipeline` is a English model originally trained by gyesibiney.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_covid_sentimental_analysis_classifier_1_pipeline_en_5.5.0_3.0_1726750323622.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_covid_sentimental_analysis_classifier_1_pipeline_en_5.5.0_3.0_1726750323622.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_covid_sentimental_analysis_classifier_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_covid_sentimental_analysis_classifier_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_covid_sentimental_analysis_classifier_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/gyesibiney/roberta-covid-sentimental-analysis-classifier-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_finetuned_ner_longforms_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_finetuned_ner_longforms_pipeline_en.md
new file mode 100644
index 00000000000000..64df561447b76e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_finetuned_ner_longforms_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_finetuned_ner_longforms_pipeline pipeline RoBertaForTokenClassification from paullatham1
+author: John Snow Labs
+name: roberta_finetuned_ner_longforms_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_ner_longforms_pipeline` is a English model originally trained by paullatham1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_ner_longforms_pipeline_en_5.5.0_3.0_1726730807607.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_ner_longforms_pipeline_en_5.5.0_3.0_1726730807607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_ner_longforms_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_ner_longforms_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_ner_longforms_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|425.8 MB|
+
+## References
+
+https://huggingface.co/paullatham1/roberta-finetuned-ner-longforms
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_finetuned_parsi_mianeh_corpus_nan.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_finetuned_parsi_mianeh_corpus_nan.md
new file mode 100644
index 00000000000000..a087514d045757
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_finetuned_parsi_mianeh_corpus_nan.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: None roberta_finetuned_parsi_mianeh_corpus RoBertaEmbeddings from hosnahoseini
+author: John Snow Labs
+name: roberta_finetuned_parsi_mianeh_corpus
+date: 2024-09-19
+tags: [nan, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: nan
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_parsi_mianeh_corpus` is a None model originally trained by hosnahoseini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_parsi_mianeh_corpus_nan_5.5.0_3.0_1726749754592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_parsi_mianeh_corpus_nan_5.5.0_3.0_1726749754592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_earnings21_non_normalized|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/anonymoussubmissions/roberta-large-earnings21-non-normalized
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_large_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_en.md
new file mode 100644
index 00000000000000..3375d8ccf1394f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_en.md
@@ -0,0 +1,90 @@
+---
+layout: model
+title: RoBERTa large model
+author: John Snow Labs
+name: roberta_large
+date: 2024-09-19
+tags: [en, english, embeddings, roberta, open_source, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in [this paper](https://arxiv.org/abs/1907.11692) and first released in [this repository](https://github.com/pytorch/fairseq/tree/master/examples/roberta). This model is case-sensitive: it makes a difference between english and English.
+
+RoBERTa is a transformers model pretrained on a large corpus of English data in a self-supervised fashion. This means it was pretrained on the raw texts only, with no humans labeling them in any way (which is why it can use lots of publicly available data) with an automatic process to generate inputs and labels from those texts.
+
+More precisely, it was pretrained with the Masked language modeling (MLM) objective. Taking a sentence, the model randomly masks 15% of the words in the input then runs the entire masked sentence through the model and has to predict the masked words. This is different from traditional recurrent neural networks (RNNs) that usually see the words one after the other, or from autoregressive models like GPT which internally mask the future tokens. It allows the model to learn a bidirectional representation of the sentence.
+
+This way, the model learns an inner representation of the English language that can then be used to extract features useful for downstream tasks: if you have a dataset of labeled sentences, for instance, you can train a standard classifier using the features produced by the BERT model as inputs.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_en_5.5.0_3.0_1726730849439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_en_5.5.0_3.0_1726730849439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_abbr_unfiltered_plod|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/surrey-nlp/roberta-large-finetuned-abbr-unfiltered-plod
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_large_full_finetuned_ner_single_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_full_finetuned_ner_single_en.md
new file mode 100644
index 00000000000000..24f8f554fc38fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_full_finetuned_ner_single_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_full_finetuned_ner_single RoBertaForTokenClassification from DDDacc
+author: John Snow Labs
+name: roberta_large_full_finetuned_ner_single
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_full_finetuned_ner_single` is a English model originally trained by DDDacc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_full_finetuned_ner_single_en_5.5.0_3.0_1726745688040.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_full_finetuned_ner_single_en_5.5.0_3.0_1726745688040.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_full_finetuned_ner_single|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/DDDacc/RoBERTa-Large-full-finetuned-ner-single
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_large_iterater_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_iterater_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..5d82762766ee8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_iterater_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_iterater_classifier_pipeline pipeline RoBertaForSequenceClassification from owanr
+author: John Snow Labs
+name: roberta_large_iterater_classifier_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_iterater_classifier_pipeline` is a English model originally trained by owanr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_iterater_classifier_pipeline_en_5.5.0_3.0_1726751535095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_iterater_classifier_pipeline_en_5.5.0_3.0_1726751535095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_iterater_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_iterater_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_iterater_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|845.1 MB|
+
+## References
+
+https://huggingface.co/owanr/roberta_large_iterater_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_large_lora_2_63m_snli_model3_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_lora_2_63m_snli_model3_en.md
new file mode 100644
index 00000000000000..9ecef5605f01f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_lora_2_63m_snli_model3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_lora_2_63m_snli_model3 RoBertaForSequenceClassification from varun-v-rao
+author: John Snow Labs
+name: roberta_large_lora_2_63m_snli_model3
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_lora_2_63m_snli_model3` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_lora_2_63m_snli_model3_en_5.5.0_3.0_1726751060512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_lora_2_63m_snli_model3_en_5.5.0_3.0_1726751060512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_lora_2_63m_snli_model3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|915.0 MB|
+
+## References
+
+https://huggingface.co/varun-v-rao/roberta-large-lora-2.63M-snli-model3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_large_lora_2_63m_snli_model3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_lora_2_63m_snli_model3_pipeline_en.md
new file mode 100644
index 00000000000000..eb2d46df20e511
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_lora_2_63m_snli_model3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_lora_2_63m_snli_model3_pipeline pipeline RoBertaForSequenceClassification from varun-v-rao
+author: John Snow Labs
+name: roberta_large_lora_2_63m_snli_model3_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_lora_2_63m_snli_model3_pipeline` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_lora_2_63m_snli_model3_pipeline_en_5.5.0_3.0_1726751293532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_lora_2_63m_snli_model3_pipeline_en_5.5.0_3.0_1726751293532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_lora_2_63m_snli_model3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_lora_2_63m_snli_model3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_lora_2_63m_snli_model3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|915.0 MB|
+
+## References
+
+https://huggingface.co/varun-v-rao/roberta-large-lora-2.63M-snli-model3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_large_stereoset_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_stereoset_finetuned_en.md
new file mode 100644
index 00000000000000..b902b2f14a886c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_stereoset_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_stereoset_finetuned RoBertaForSequenceClassification from henryscheible
+author: John Snow Labs
+name: roberta_large_stereoset_finetuned
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_stereoset_finetuned` is a English model originally trained by henryscheible.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_stereoset_finetuned_en_5.5.0_3.0_1726750514873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_stereoset_finetuned_en_5.5.0_3.0_1726750514873.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_stereoset_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/henryscheible/roberta-large_stereoset_finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_large_stereoset_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_stereoset_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..4a181fba3594ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_stereoset_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_stereoset_finetuned_pipeline pipeline RoBertaForSequenceClassification from henryscheible
+author: John Snow Labs
+name: roberta_large_stereoset_finetuned_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_stereoset_finetuned_pipeline` is a English model originally trained by henryscheible.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_stereoset_finetuned_pipeline_en_5.5.0_3.0_1726750610954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_stereoset_finetuned_pipeline_en_5.5.0_3.0_1726750610954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_stereoset_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_stereoset_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_stereoset_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/henryscheible/roberta-large_stereoset_finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-rotten_tomatoes_roberta_base_seed_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-rotten_tomatoes_roberta_base_seed_2_pipeline_en.md
new file mode 100644
index 00000000000000..9103f1a534b9fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-rotten_tomatoes_roberta_base_seed_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English rotten_tomatoes_roberta_base_seed_2_pipeline pipeline RoBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: rotten_tomatoes_roberta_base_seed_2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rotten_tomatoes_roberta_base_seed_2_pipeline` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rotten_tomatoes_roberta_base_seed_2_pipeline_en_5.5.0_3.0_1726750705289.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rotten_tomatoes_roberta_base_seed_2_pipeline_en_5.5.0_3.0_1726750705289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rotten_tomatoes_roberta_base_seed_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rotten_tomatoes_roberta_base_seed_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rotten_tomatoes_roberta_base_seed_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|436.0 MB|
+
+## References
+
+https://huggingface.co/utahnlp/rotten_tomatoes_roberta-base_seed-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-rubioroberta_neg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-rubioroberta_neg_pipeline_en.md
new file mode 100644
index 00000000000000..02ca959aeb0373
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-rubioroberta_neg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English rubioroberta_neg_pipeline pipeline RoBertaForTokenClassification from DimasikKurd
+author: John Snow Labs
+name: rubioroberta_neg_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubioroberta_neg_pipeline` is a English model originally trained by DimasikKurd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubioroberta_neg_pipeline_en_5.5.0_3.0_1726731354524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubioroberta_neg_pipeline_en_5.5.0_3.0_1726731354524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rubioroberta_neg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rubioroberta_neg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubioroberta_neg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/DimasikKurd/RuBioRoBERTa_neg
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-rulebert_v0_1_k0_it.md b/docs/_posts/ahmedlone127/2024-09-19-rulebert_v0_1_k0_it.md
new file mode 100644
index 00000000000000..577100becd5139
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-rulebert_v0_1_k0_it.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Italian rulebert_v0_1_k0 XlmRoBertaForSequenceClassification from ribesstefano
+author: John Snow Labs
+name: rulebert_v0_1_k0
+date: 2024-09-19
+tags: [it, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rulebert_v0_1_k0` is a Italian model originally trained by ribesstefano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rulebert_v0_1_k0_it_5.5.0_3.0_1726721851217.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rulebert_v0_1_k0_it_5.5.0_3.0_1726721851217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rulebert_v0_1_k0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|812.3 MB|
+
+## References
+
+https://huggingface.co/ribesstefano/RuleBert-v0.1-k0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-rulebert_v0_1_k0_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-19-rulebert_v0_1_k0_pipeline_it.md
new file mode 100644
index 00000000000000..8b07bb411f8f38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-rulebert_v0_1_k0_pipeline_it.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Italian rulebert_v0_1_k0_pipeline pipeline XlmRoBertaForSequenceClassification from ribesstefano
+author: John Snow Labs
+name: rulebert_v0_1_k0_pipeline
+date: 2024-09-19
+tags: [it, open_source, pipeline, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rulebert_v0_1_k0_pipeline` is a Italian model originally trained by ribesstefano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rulebert_v0_1_k0_pipeline_it_5.5.0_3.0_1726721980977.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rulebert_v0_1_k0_pipeline_it_5.5.0_3.0_1726721980977.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rulebert_v0_1_k0_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rulebert_v0_1_k0_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rulebert_v0_1_k0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|812.3 MB|
+
+## References
+
+https://huggingface.co/ribesstefano/RuleBert-v0.1-k0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-rulebert_v0_3_k4_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-19-rulebert_v0_3_k4_pipeline_it.md
new file mode 100644
index 00000000000000..8e5c0fcded3a95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-rulebert_v0_3_k4_pipeline_it.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Italian rulebert_v0_3_k4_pipeline pipeline XlmRoBertaForSequenceClassification from ribesstefano
+author: John Snow Labs
+name: rulebert_v0_3_k4_pipeline
+date: 2024-09-19
+tags: [it, open_source, pipeline, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rulebert_v0_3_k4_pipeline` is a Italian model originally trained by ribesstefano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rulebert_v0_3_k4_pipeline_it_5.5.0_3.0_1726721575081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rulebert_v0_3_k4_pipeline_it_5.5.0_3.0_1726721575081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rulebert_v0_3_k4_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rulebert_v0_3_k4_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rulebert_v0_3_k4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|870.5 MB|
+
+## References
+
+https://huggingface.co/ribesstefano/RuleBert-v0.3-k4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-ruroberta_large_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2024-09-19-ruroberta_large_sayula_popoluca_en.md
new file mode 100644
index 00000000000000..d38feadbc1420b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-ruroberta_large_sayula_popoluca_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ruroberta_large_sayula_popoluca RoBertaForTokenClassification from DimasikKurd
+author: John Snow Labs
+name: ruroberta_large_sayula_popoluca
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ruroberta_large_sayula_popoluca` is a English model originally trained by DimasikKurd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruroberta_large_sayula_popoluca_en_5.5.0_3.0_1726729936957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruroberta_large_sayula_popoluca_en_5.5.0_3.0_1726729936957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruroberta_large_sayula_popoluca|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/DimasikKurd/ruRoberta-large_pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-ruroberta_large_sayula_popoluca_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-ruroberta_large_sayula_popoluca_pipeline_en.md
new file mode 100644
index 00000000000000..d23180d3f36093
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-ruroberta_large_sayula_popoluca_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ruroberta_large_sayula_popoluca_pipeline pipeline RoBertaForTokenClassification from DimasikKurd
+author: John Snow Labs
+name: ruroberta_large_sayula_popoluca_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ruroberta_large_sayula_popoluca_pipeline` is a English model originally trained by DimasikKurd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruroberta_large_sayula_popoluca_pipeline_en_5.5.0_3.0_1726730000217.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruroberta_large_sayula_popoluca_pipeline_en_5.5.0_3.0_1726730000217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ruroberta_large_sayula_popoluca_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ruroberta_large_sayula_popoluca_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruroberta_large_sayula_popoluca_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/DimasikKurd/ruRoberta-large_pos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sanskrit_saskta_distilbert_eng_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sanskrit_saskta_distilbert_eng_pipeline_en.md
new file mode 100644
index 00000000000000..e02c24cef243d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sanskrit_saskta_distilbert_eng_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sanskrit_saskta_distilbert_eng_pipeline pipeline DistilBertForSequenceClassification from keefezowie
+author: John Snow Labs
+name: sanskrit_saskta_distilbert_eng_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sanskrit_saskta_distilbert_eng_pipeline` is a English model originally trained by keefezowie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_distilbert_eng_pipeline_en_5.5.0_3.0_1726740667768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_distilbert_eng_pipeline_en_5.5.0_3.0_1726740667768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sanskrit_saskta_distilbert_eng_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sanskrit_saskta_distilbert_eng_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sanskrit_saskta_distilbert_eng_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|250.9 MB|
+
+## References
+
+https://huggingface.co/keefezowie/sa_distilBERT_eng
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_aethiqs_base_bertje_data_rotterdam_epochs_10_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_aethiqs_base_bertje_data_rotterdam_epochs_10_en.md
new file mode 100644
index 00000000000000..a01a1b809790b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_aethiqs_base_bertje_data_rotterdam_epochs_10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_aethiqs_base_bertje_data_rotterdam_epochs_10 BertSentenceEmbeddings from AethiQs-Max
+author: John Snow Labs
+name: sent_aethiqs_base_bertje_data_rotterdam_epochs_10
+date: 2024-09-19
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_aethiqs_base_bertje_data_rotterdam_epochs_10` is a English model originally trained by AethiQs-Max.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_aethiqs_base_bertje_data_rotterdam_epochs_10_en_5.5.0_3.0_1726782998567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_aethiqs_base_bertje_data_rotterdam_epochs_10_en_5.5.0_3.0_1726782998567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_aethiqs_base_bertje_data_rotterdam_epochs_10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/AethiQs-Max/aethiqs-base_bertje-data_rotterdam-epochs_10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_aethiqs_gembert_bertje_50k_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_aethiqs_gembert_bertje_50k_en.md
new file mode 100644
index 00000000000000..96ec6f0f2c4750
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_aethiqs_gembert_bertje_50k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_aethiqs_gembert_bertje_50k BertSentenceEmbeddings from AethiQs-Max
+author: John Snow Labs
+name: sent_aethiqs_gembert_bertje_50k
+date: 2024-09-19
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_aethiqs_gembert_bertje_50k` is a English model originally trained by AethiQs-Max.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_aethiqs_gembert_bertje_50k_en_5.5.0_3.0_1726782824210.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_aethiqs_gembert_bertje_50k_en_5.5.0_3.0_1726782824210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_alberti_bert_base_multilingual_cased_flax_community|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/flax-community/alberti-bert-base-multilingual-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_bert_base_uncased_finetuned_mol_mlm_0_3_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_bert_base_uncased_finetuned_mol_mlm_0_3_en.md
new file mode 100644
index 00000000000000..d9f4545c7904cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_bert_base_uncased_finetuned_mol_mlm_0_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_mol_mlm_0_3 BertSentenceEmbeddings from matr1xx
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_mol_mlm_0_3
+date: 2024-09-19
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_mol_mlm_0_3` is a English model originally trained by matr1xx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_mol_mlm_0_3_en_5.5.0_3.0_1726768571155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_mol_mlm_0_3_en_5.5.0_3.0_1726768571155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_mol_mlm_0_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/matr1xx/bert-base-uncased-finetuned-mol-mlm-0.3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_bert_emoji_latvian_twitter_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_bert_emoji_latvian_twitter_pipeline_en.md
new file mode 100644
index 00000000000000..41350732b784a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_bert_emoji_latvian_twitter_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_emoji_latvian_twitter_pipeline pipeline BertSentenceEmbeddings from FFZG-cleopatra
+author: John Snow Labs
+name: sent_bert_emoji_latvian_twitter_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_emoji_latvian_twitter_pipeline` is a English model originally trained by FFZG-cleopatra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_emoji_latvian_twitter_pipeline_en_5.5.0_3.0_1726760991648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_emoji_latvian_twitter_pipeline_en_5.5.0_3.0_1726760991648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_emoji_latvian_twitter_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_emoji_latvian_twitter_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_emoji_latvian_twitter_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|664.8 MB|
+
+## References
+
+https://huggingface.co/FFZG-cleopatra/bert-emoji-latvian-twitter
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_conflibert_scr_cased_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_conflibert_scr_cased_en.md
new file mode 100644
index 00000000000000..eb0e80461d27d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_conflibert_scr_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_conflibert_scr_cased BertSentenceEmbeddings from snowood1
+author: John Snow Labs
+name: sent_conflibert_scr_cased
+date: 2024-09-19
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_conflibert_scr_cased` is a English model originally trained by snowood1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_conflibert_scr_cased_en_5.5.0_3.0_1726783123807.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_conflibert_scr_cased_en_5.5.0_3.0_1726783123807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_conflibert_scr_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/snowood1/ConfliBERT-scr-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_conflibert_scr_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_conflibert_scr_cased_pipeline_en.md
new file mode 100644
index 00000000000000..6580082cabc2f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_conflibert_scr_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_conflibert_scr_cased_pipeline pipeline BertSentenceEmbeddings from snowood1
+author: John Snow Labs
+name: sent_conflibert_scr_cased_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_conflibert_scr_cased_pipeline` is a English model originally trained by snowood1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_conflibert_scr_cased_pipeline_en_5.5.0_3.0_1726783142536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_conflibert_scr_cased_pipeline_en_5.5.0_3.0_1726783142536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_conflibert_scr_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_conflibert_scr_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_conflibert_scr_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.4 MB|
+
+## References
+
+https://huggingface.co/snowood1/ConfliBERT-scr-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_covid_scibert_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_covid_scibert_en.md
new file mode 100644
index 00000000000000..e7445bdbd2ebf0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_covid_scibert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_covid_scibert BertSentenceEmbeddings from lordtt13
+author: John Snow Labs
+name: sent_covid_scibert
+date: 2024-09-19
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_covid_scibert` is a English model originally trained by lordtt13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_covid_scibert_en_5.5.0_3.0_1726761217240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_covid_scibert_en_5.5.0_3.0_1726761217240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_covid_scibert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/lordtt13/COVID-SciBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_covid_scibert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_covid_scibert_pipeline_en.md
new file mode 100644
index 00000000000000..21865cd3cc569c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_covid_scibert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_covid_scibert_pipeline pipeline BertSentenceEmbeddings from lordtt13
+author: John Snow Labs
+name: sent_covid_scibert_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_covid_scibert_pipeline` is a English model originally trained by lordtt13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_covid_scibert_pipeline_en_5.5.0_3.0_1726761237504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_covid_scibert_pipeline_en_5.5.0_3.0_1726761237504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_covid_scibert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_covid_scibert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_covid_scibert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|413.0 MB|
+
+## References
+
+https://huggingface.co/lordtt13/COVID-SciBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_esmlmt62_2500_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_esmlmt62_2500_pipeline_en.md
new file mode 100644
index 00000000000000..c9b03fa547dbcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_esmlmt62_2500_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_esmlmt62_2500_pipeline pipeline BertSentenceEmbeddings from hjkim811
+author: John Snow Labs
+name: sent_esmlmt62_2500_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_esmlmt62_2500_pipeline` is a English model originally trained by hjkim811.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_esmlmt62_2500_pipeline_en_5.5.0_3.0_1726768485616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_esmlmt62_2500_pipeline_en_5.5.0_3.0_1726768485616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_esmlmt62_2500_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_esmlmt62_2500_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_esmlmt62_2500_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/hjkim811/esmlmt62-2500
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_finbert_pretrain_financeinc_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_finbert_pretrain_financeinc_en.md
new file mode 100644
index 00000000000000..2d195c52ab0fd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_finbert_pretrain_financeinc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_finbert_pretrain_financeinc BertSentenceEmbeddings from FinanceInc
+author: John Snow Labs
+name: sent_finbert_pretrain_financeinc
+date: 2024-09-19
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_finbert_pretrain_financeinc` is a English model originally trained by FinanceInc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_finbert_pretrain_financeinc_en_5.5.0_3.0_1726782643590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_finbert_pretrain_financeinc_en_5.5.0_3.0_1726782643590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_finbert_pretrain_financeinc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/FinanceInc/finbert-pretrain
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_finbert_pretrain_financeinc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_finbert_pretrain_financeinc_pipeline_en.md
new file mode 100644
index 00000000000000..3b003f9db0a04b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_finbert_pretrain_financeinc_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_finbert_pretrain_financeinc_pipeline pipeline BertSentenceEmbeddings from FinanceInc
+author: John Snow Labs
+name: sent_finbert_pretrain_financeinc_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_finbert_pretrain_financeinc_pipeline` is a English model originally trained by FinanceInc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_finbert_pretrain_financeinc_pipeline_en_5.5.0_3.0_1726782662555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_finbert_pretrain_financeinc_pipeline_en_5.5.0_3.0_1726782662555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_finbert_pretrain_financeinc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_finbert_pretrain_financeinc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_finbert_pretrain_financeinc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/FinanceInc/finbert-pretrain
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_fintwitbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_fintwitbert_pipeline_en.md
new file mode 100644
index 00000000000000..4c641c30f629b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_fintwitbert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_fintwitbert_pipeline pipeline BertSentenceEmbeddings from StephanAkkerman
+author: John Snow Labs
+name: sent_fintwitbert_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_fintwitbert_pipeline` is a English model originally trained by StephanAkkerman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_fintwitbert_pipeline_en_5.5.0_3.0_1726728560524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_fintwitbert_pipeline_en_5.5.0_3.0_1726728560524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_fintwitbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_fintwitbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_fintwitbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/StephanAkkerman/FinTwitBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_hindi_bpe_bert_test_large_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_hindi_bpe_bert_test_large_en.md
new file mode 100644
index 00000000000000..189929f16f96fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_hindi_bpe_bert_test_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_hindi_bpe_bert_test_large BertSentenceEmbeddings from rg1683
+author: John Snow Labs
+name: sent_hindi_bpe_bert_test_large
+date: 2024-09-19
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_hindi_bpe_bert_test_large` is a English model originally trained by rg1683.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hindi_bpe_bert_test_large_en_5.5.0_3.0_1726760945479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hindi_bpe_bert_test_large_en_5.5.0_3.0_1726760945479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hindi_bpe_bert_test_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|377.7 MB|
+
+## References
+
+https://huggingface.co/rg1683/hindi_bpe_bert_test_large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_javabert_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_javabert_uncased_en.md
new file mode 100644
index 00000000000000..a6f62abccc0d62
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_javabert_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_javabert_uncased BertSentenceEmbeddings from CAUKiel
+author: John Snow Labs
+name: sent_javabert_uncased
+date: 2024-09-19
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_javabert_uncased` is a English model originally trained by CAUKiel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_javabert_uncased_en_5.5.0_3.0_1726768371230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_javabert_uncased_en_5.5.0_3.0_1726768371230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_javabert_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/CAUKiel/JavaBERT-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_javabert_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_javabert_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..2d0f3c023b519f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_javabert_uncased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_javabert_uncased_pipeline pipeline BertSentenceEmbeddings from CAUKiel
+author: John Snow Labs
+name: sent_javabert_uncased_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_javabert_uncased_pipeline` is a English model originally trained by CAUKiel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_javabert_uncased_pipeline_en_5.5.0_3.0_1726768392103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_javabert_uncased_pipeline_en_5.5.0_3.0_1726768392103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_javabert_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_javabert_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_javabert_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.8 MB|
+
+## References
+
+https://huggingface.co/CAUKiel/JavaBERT-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_javanese_bert_small_imdb_pipeline_jv.md b/docs/_posts/ahmedlone127/2024-09-19-sent_javanese_bert_small_imdb_pipeline_jv.md
new file mode 100644
index 00000000000000..e76d6e0abb13b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_javanese_bert_small_imdb_pipeline_jv.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Javanese sent_javanese_bert_small_imdb_pipeline pipeline BertSentenceEmbeddings from w11wo
+author: John Snow Labs
+name: sent_javanese_bert_small_imdb_pipeline
+date: 2024-09-19
+tags: [jv, open_source, pipeline, onnx]
+task: Embeddings
+language: jv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_javanese_bert_small_imdb_pipeline` is a Javanese model originally trained by w11wo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_javanese_bert_small_imdb_pipeline_jv_5.5.0_3.0_1726783004056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_javanese_bert_small_imdb_pipeline_jv_5.5.0_3.0_1726783004056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_javanese_bert_small_imdb_pipeline", lang = "jv")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_javanese_bert_small_imdb_pipeline", lang = "jv")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_javanese_bert_small_imdb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|jv|
+|Size:|407.8 MB|
+
+## References
+
+https://huggingface.co/w11wo/javanese-bert-small-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_jmedroberta_base_sentencepiece_vocab50000_pipeline_ja.md b/docs/_posts/ahmedlone127/2024-09-19-sent_jmedroberta_base_sentencepiece_vocab50000_pipeline_ja.md
new file mode 100644
index 00000000000000..f130707f7fd55f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_jmedroberta_base_sentencepiece_vocab50000_pipeline_ja.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Japanese sent_jmedroberta_base_sentencepiece_vocab50000_pipeline pipeline BertSentenceEmbeddings from alabnii
+author: John Snow Labs
+name: sent_jmedroberta_base_sentencepiece_vocab50000_pipeline
+date: 2024-09-19
+tags: [ja, open_source, pipeline, onnx]
+task: Embeddings
+language: ja
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_jmedroberta_base_sentencepiece_vocab50000_pipeline` is a Japanese model originally trained by alabnii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_jmedroberta_base_sentencepiece_vocab50000_pipeline_ja_5.5.0_3.0_1726761344582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_jmedroberta_base_sentencepiece_vocab50000_pipeline_ja_5.5.0_3.0_1726761344582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_jmedroberta_base_sentencepiece_vocab50000_pipeline", lang = "ja")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_jmedroberta_base_sentencepiece_vocab50000_pipeline", lang = "ja")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_jmedroberta_base_sentencepiece_vocab50000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ja|
+|Size:|464.6 MB|
+
+## References
+
+https://huggingface.co/alabnii/jmedroberta-base-sentencepiece-vocab50000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_youtube_bert_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_youtube_bert_en.md
new file mode 100644
index 00000000000000..2a5e2fc7fb8195
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_youtube_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_youtube_bert BertSentenceEmbeddings from flboehm
+author: John Snow Labs
+name: sent_youtube_bert
+date: 2024-09-19
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_youtube_bert` is a English model originally trained by flboehm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_youtube_bert_en_5.5.0_3.0_1726728765748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_youtube_bert_en_5.5.0_3.0_1726728765748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_youtube_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.6 MB|
+
+## References
+
+https://huggingface.co/flboehm/youtube-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_en.md b/docs/_posts/ahmedlone127/2024-09-19-sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_en.md
new file mode 100644
index 00000000000000..64b0ae82b3327f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_analysis_fb_roberta_fine_tune_hashtag_removed RoBertaForSequenceClassification from technocrat3128
+author: John Snow Labs
+name: sentiment_analysis_fb_roberta_fine_tune_hashtag_removed
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_fb_roberta_fine_tune_hashtag_removed` is a English model originally trained by technocrat3128.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_en_5.5.0_3.0_1726725888429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_en_5.5.0_3.0_1726725888429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spa_xlm_r|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|823.7 MB|
+
+## References
+
+https://huggingface.co/mbruton/spa_XLM-R
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-spa_xlm_r_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-19-spa_xlm_r_pipeline_es.md
new file mode 100644
index 00000000000000..78fcf5a06579fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-spa_xlm_r_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish spa_xlm_r_pipeline pipeline XlmRoBertaForTokenClassification from mbruton
+author: John Snow Labs
+name: spa_xlm_r_pipeline
+date: 2024-09-19
+tags: [es, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spa_xlm_r_pipeline` is a Castilian, Spanish model originally trained by mbruton.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spa_xlm_r_pipeline_es_5.5.0_3.0_1726753722581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spa_xlm_r_pipeline_es_5.5.0_3.0_1726753722581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spa_xlm_r_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spa_xlm_r_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spa_xlm_r_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|823.7 MB|
+
+## References
+
+https://huggingface.co/mbruton/spa_XLM-R
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-splade_v3_lexical_nirantk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-splade_v3_lexical_nirantk_pipeline_en.md
new file mode 100644
index 00000000000000..261e8e09a03b2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-splade_v3_lexical_nirantk_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English splade_v3_lexical_nirantk_pipeline pipeline BertEmbeddings from nirantk
+author: John Snow Labs
+name: splade_v3_lexical_nirantk_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`splade_v3_lexical_nirantk_pipeline` is a English model originally trained by nirantk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/splade_v3_lexical_nirantk_pipeline_en_5.5.0_3.0_1726732066029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/splade_v3_lexical_nirantk_pipeline_en_5.5.0_3.0_1726732066029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("splade_v3_lexical_nirantk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("splade_v3_lexical_nirantk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|splade_v3_lexical_nirantk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/nirantk/splade-v3-lexical
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_en.md b/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_en.md
new file mode 100644
index 00000000000000..3abe80a4f8497f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_en_5.5.0_3.0_1726741179539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_en_5.5.0_3.0_1726741179539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-0-2024-07-26_13-30-02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_pipeline_en.md
new file mode 100644
index 00000000000000..37b90c67b4d022
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_pipeline_en_5.5.0_3.0_1726763363172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_pipeline_en_5.5.0_3.0_1726763363172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-20-2024-07-26_16-19-31
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-taiwanese_whisper_splend1dchan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-taiwanese_whisper_splend1dchan_pipeline_en.md
new file mode 100644
index 00000000000000..39cf6da16b39f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-taiwanese_whisper_splend1dchan_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English taiwanese_whisper_splend1dchan_pipeline pipeline WhisperForCTC from Splend1dchan
+author: John Snow Labs
+name: taiwanese_whisper_splend1dchan_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`taiwanese_whisper_splend1dchan_pipeline` is a English model originally trained by Splend1dchan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/taiwanese_whisper_splend1dchan_pipeline_en_5.5.0_3.0_1726787825511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/taiwanese_whisper_splend1dchan_pipeline_en_5.5.0_3.0_1726787825511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("taiwanese_whisper_splend1dchan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("taiwanese_whisper_splend1dchan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|taiwanese_whisper_splend1dchan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Splend1dchan/Taiwanese-Whisper
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-test7_balanced_and_sentence_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-test7_balanced_and_sentence_pipeline_en.md
new file mode 100644
index 00000000000000..df25074d149b76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-test7_balanced_and_sentence_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test7_balanced_and_sentence_pipeline pipeline RoBertaForSequenceClassification from adriansanz
+author: John Snow Labs
+name: test7_balanced_and_sentence_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test7_balanced_and_sentence_pipeline` is a English model originally trained by adriansanz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test7_balanced_and_sentence_pipeline_en_5.5.0_3.0_1726750670256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test7_balanced_and_sentence_pipeline_en_5.5.0_3.0_1726750670256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test7_balanced_and_sentence_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test7_balanced_and_sentence_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test7_balanced_and_sentence_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.4 MB|
+
+## References
+
+https://huggingface.co/adriansanz/test7_balanced_and_sentence
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-test_camsaid_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-test_camsaid_pipeline_en.md
new file mode 100644
index 00000000000000..b6d4b98c9d2801
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-test_camsaid_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_camsaid_pipeline pipeline DistilBertForSequenceClassification from CamSaid
+author: John Snow Labs
+name: test_camsaid_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_camsaid_pipeline` is a English model originally trained by CamSaid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_camsaid_pipeline_en_5.5.0_3.0_1726741242588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_camsaid_pipeline_en_5.5.0_3.0_1726741242588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_camsaid_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_camsaid_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_camsaid_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/CamSaid/Test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-testeronald_en.md b/docs/_posts/ahmedlone127/2024-09-19-testeronald_en.md
new file mode 100644
index 00000000000000..b3842f6505fbed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-testeronald_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English testeronald BertForQuestionAnswering from ninho86
+author: John Snow Labs
+name: testeronald
+date: 2024-09-19
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testeronald` is a English model originally trained by ninho86.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testeronald_en_5.5.0_3.0_1726765394113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testeronald_en_5.5.0_3.0_1726765394113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testeronald|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ninho86/testeRonald
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-testeronald_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-testeronald_pipeline_en.md
new file mode 100644
index 00000000000000..7a047255ce26f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-testeronald_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English testeronald_pipeline pipeline BertForQuestionAnswering from ninho86
+author: John Snow Labs
+name: testeronald_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testeronald_pipeline` is a English model originally trained by ninho86.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testeronald_pipeline_en_5.5.0_3.0_1726765414128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testeronald_pipeline_en_5.5.0_3.0_1726765414128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("testeronald_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("testeronald_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testeronald_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ninho86/testeRonald
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-testing_model_katowtkkk_en.md b/docs/_posts/ahmedlone127/2024-09-19-testing_model_katowtkkk_en.md
new file mode 100644
index 00000000000000..1cd71acaaa2bc8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-testing_model_katowtkkk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English testing_model_katowtkkk DistilBertForSequenceClassification from katowtkkk
+author: John Snow Labs
+name: testing_model_katowtkkk
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testing_model_katowtkkk` is a English model originally trained by katowtkkk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testing_model_katowtkkk_en_5.5.0_3.0_1726740652125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testing_model_katowtkkk_en_5.5.0_3.0_1726740652125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testing_model_katowtkkk|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/katowtkkk/testing_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-text_classification_sms_model_en.md b/docs/_posts/ahmedlone127/2024-09-19-text_classification_sms_model_en.md
new file mode 100644
index 00000000000000..2b9cc99f0be222
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-text_classification_sms_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English text_classification_sms_model DistilBertForSequenceClassification from dstankovskii
+author: John Snow Labs
+name: text_classification_sms_model
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_sms_model` is a English model originally trained by dstankovskii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_sms_model_en_5.5.0_3.0_1726740703159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_sms_model_en_5.5.0_3.0_1726740703159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_sms_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dstankovskii/text_classification_sms_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-third_classification_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-third_classification_model_pipeline_en.md
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,70 @@
+---
+layout: model
+title: English third_classification_model_pipeline pipeline DistilBertForSequenceClassification from Danny-Moldovan
+author: John Snow Labs
+name: third_classification_model_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`third_classification_model_pipeline` is a English model originally trained by Danny-Moldovan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/third_classification_model_pipeline_en_5.5.0_3.0_1726763362892.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/third_classification_model_pipeline_en_5.5.0_3.0_1726763362892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("third_classification_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("third_classification_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|third_classification_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Danny-Moldovan/third_classification_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-tibetan_roberta_s_e6_en.md b/docs/_posts/ahmedlone127/2024-09-19-tibetan_roberta_s_e6_en.md
new file mode 100644
index 00000000000000..bf03e75fc9b48a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-tibetan_roberta_s_e6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tibetan_roberta_s_e6 RoBertaEmbeddings from openpecha
+author: John Snow Labs
+name: tibetan_roberta_s_e6
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tibetan_roberta_s_e6` is a English model originally trained by openpecha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tibetan_roberta_s_e6_en_5.5.0_3.0_1726748843164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tibetan_roberta_s_e6_en_5.5.0_3.0_1726748843164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tibetan_roberta_s_e6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|310.9 MB|
+
+## References
+
+https://huggingface.co/openpecha/tibetan_RoBERTa_S_e6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-tibetan_roberta_s_e6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-tibetan_roberta_s_e6_pipeline_en.md
new file mode 100644
index 00000000000000..5f8c4702e33ad2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-tibetan_roberta_s_e6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tibetan_roberta_s_e6_pipeline pipeline RoBertaEmbeddings from openpecha
+author: John Snow Labs
+name: tibetan_roberta_s_e6_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tibetan_roberta_s_e6_pipeline` is a English model originally trained by openpecha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tibetan_roberta_s_e6_pipeline_en_5.5.0_3.0_1726748858021.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tibetan_roberta_s_e6_pipeline_en_5.5.0_3.0_1726748858021.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tibetan_roberta_s_e6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tibetan_roberta_s_e6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tibetan_roberta_s_e6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|310.9 MB|
+
+## References
+
+https://huggingface.co/openpecha/tibetan_RoBERTa_S_e6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-train_dir_en.md b/docs/_posts/ahmedlone127/2024-09-19-train_dir_en.md
new file mode 100644
index 00000000000000..f4086d298af9cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-train_dir_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English train_dir DistilBertForSequenceClassification from ChokeGM
+author: John Snow Labs
+name: train_dir
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`train_dir` is a English model originally trained by ChokeGM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/train_dir_en_5.5.0_3.0_1726741251247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/train_dir_en_5.5.0_3.0_1726741251247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|train_dir|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|680.5 KB|
+
+## References
+
+https://huggingface.co/ChokeGM/train_dir
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-train_dir_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-train_dir_pipeline_en.md
new file mode 100644
index 00000000000000..0d0a58ed92ddb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-train_dir_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English train_dir_pipeline pipeline DistilBertForSequenceClassification from ChokeGM
+author: John Snow Labs
+name: train_dir_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`train_dir_pipeline` is a English model originally trained by ChokeGM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/train_dir_pipeline_en_5.5.0_3.0_1726741252536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/train_dir_pipeline_en_5.5.0_3.0_1726741252536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("train_dir_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("train_dir_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|train_dir_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|703.8 KB|
+
+## References
+
+https://huggingface.co/ChokeGM/train_dir
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-trained_dilibert_sentiment_analysis_amolinab_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-trained_dilibert_sentiment_analysis_amolinab_pipeline_en.md
new file mode 100644
index 00000000000000..714791e0e65222
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-trained_dilibert_sentiment_analysis_amolinab_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trained_dilibert_sentiment_analysis_amolinab_pipeline pipeline DistilBertForSequenceClassification from amolinab
+author: John Snow Labs
+name: trained_dilibert_sentiment_analysis_amolinab_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trained_dilibert_sentiment_analysis_amolinab_pipeline` is a English model originally trained by amolinab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trained_dilibert_sentiment_analysis_amolinab_pipeline_en_5.5.0_3.0_1726740902505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trained_dilibert_sentiment_analysis_amolinab_pipeline_en_5.5.0_3.0_1726740902505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trained_dilibert_sentiment_analysis_amolinab_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trained_dilibert_sentiment_analysis_amolinab_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trained_dilibert_sentiment_analysis_amolinab_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/amolinab/trained_dilibert_sentiment_analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-trainedlocation_en.md b/docs/_posts/ahmedlone127/2024-09-19-trainedlocation_en.md
new file mode 100644
index 00000000000000..52572b6f55ba3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-trainedlocation_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trainedlocation DistilBertForSequenceClassification from PathofthePeople
+author: John Snow Labs
+name: trainedlocation
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainedlocation` is a English model originally trained by PathofthePeople.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainedlocation_en_5.5.0_3.0_1726743862023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainedlocation_en_5.5.0_3.0_1726743862023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainedlocation|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/PathofthePeople/TrainedLocation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-tweet_style_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-19-tweet_style_classifier_en.md
new file mode 100644
index 00000000000000..7b02071f7507c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-tweet_style_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tweet_style_classifier BertForSequenceClassification from rabuahmad
+author: John Snow Labs
+name: tweet_style_classifier
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweet_style_classifier` is a English model originally trained by rabuahmad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweet_style_classifier_en_5.5.0_3.0_1726739566056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweet_style_classifier_en_5.5.0_3.0_1726739566056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweet_style_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/rabuahmad/tweet-style-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-tweet_style_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-tweet_style_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..050a1c416d2c11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-tweet_style_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tweet_style_classifier_pipeline pipeline BertForSequenceClassification from rabuahmad
+author: John Snow Labs
+name: tweet_style_classifier_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweet_style_classifier_pipeline` is a English model originally trained by rabuahmad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweet_style_classifier_pipeline_en_5.5.0_3.0_1726739586028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweet_style_classifier_pipeline_en_5.5.0_3.0_1726739586028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tweet_style_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tweet_style_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweet_style_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/rabuahmad/tweet-style-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-twroberta_baseb_3epoch_en.md b/docs/_posts/ahmedlone127/2024-09-19-twroberta_baseb_3epoch_en.md
new file mode 100644
index 00000000000000..c621f5293650fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-twroberta_baseb_3epoch_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twroberta_baseb_3epoch RoBertaForSequenceClassification from dianamihalache27
+author: John Snow Labs
+name: twroberta_baseb_3epoch
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twroberta_baseb_3epoch` is a English model originally trained by dianamihalache27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twroberta_baseb_3epoch_en_5.5.0_3.0_1726733325113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twroberta_baseb_3epoch_en_5.5.0_3.0_1726733325113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twroberta_baseb_3epoch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/dianamihalache27/Twroberta-baseB_3epoch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-twroberta_baseb_5epoch_en.md b/docs/_posts/ahmedlone127/2024-09-19-twroberta_baseb_5epoch_en.md
new file mode 100644
index 00000000000000..2c8a8a519890cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-twroberta_baseb_5epoch_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twroberta_baseb_5epoch RoBertaForSequenceClassification from dianamihalache27
+author: John Snow Labs
+name: twroberta_baseb_5epoch
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twroberta_baseb_5epoch` is a English model originally trained by dianamihalache27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twroberta_baseb_5epoch_en_5.5.0_3.0_1726732550875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twroberta_baseb_5epoch_en_5.5.0_3.0_1726732550875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twroberta_baseb_5epoch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/dianamihalache27/Twroberta-baseB_5epoch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-umls_bert_en.md b/docs/_posts/ahmedlone127/2024-09-19-umls_bert_en.md
new file mode 100644
index 00000000000000..88765094728abf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-umls_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English umls_bert BertForSequenceClassification from NitzanBar
+author: John Snow Labs
+name: umls_bert
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`umls_bert` is a English model originally trained by NitzanBar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/umls_bert_en_5.5.0_3.0_1726736337924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/umls_bert_en_5.5.0_3.0_1726736337924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|umls_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.4 MB|
+
+## References
+
+https://huggingface.co/NitzanBar/umls-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-umls_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-umls_bert_pipeline_en.md
new file mode 100644
index 00000000000000..037dd385c32249
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-umls_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English umls_bert_pipeline pipeline BertForSequenceClassification from NitzanBar
+author: John Snow Labs
+name: umls_bert_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`umls_bert_pipeline` is a English model originally trained by NitzanBar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/umls_bert_pipeline_en_5.5.0_3.0_1726736361741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/umls_bert_pipeline_en_5.5.0_3.0_1726736361741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("umls_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("umls_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|umls_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.4 MB|
+
+## References
+
+https://huggingface.co/NitzanBar/umls-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-unibert_roberta_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-unibert_roberta_1_pipeline_en.md
new file mode 100644
index 00000000000000..9bac7d9151bc82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-unibert_roberta_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English unibert_roberta_1_pipeline pipeline RoBertaForTokenClassification from dbala02
+author: John Snow Labs
+name: unibert_roberta_1_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unibert_roberta_1_pipeline` is a English model originally trained by dbala02.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unibert_roberta_1_pipeline_en_5.5.0_3.0_1726731360990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unibert_roberta_1_pipeline_en_5.5.0_3.0_1726731360990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("unibert_roberta_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("unibert_roberta_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unibert_roberta_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|422.6 MB|
+
+## References
+
+https://huggingface.co/dbala02/uniBERT.RoBERTa.1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-url_relevance_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-url_relevance_pipeline_en.md
new file mode 100644
index 00000000000000..57c9810de84ed1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-url_relevance_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English url_relevance_pipeline pipeline DistilBertForSequenceClassification from PDAP
+author: John Snow Labs
+name: url_relevance_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`url_relevance_pipeline` is a English model originally trained by PDAP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/url_relevance_pipeline_en_5.5.0_3.0_1726763842490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/url_relevance_pipeline_en_5.5.0_3.0_1726763842490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("url_relevance_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("url_relevance_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|url_relevance_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|253.9 MB|
+
+## References
+
+https://huggingface.co/PDAP/url-relevance
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-vk_model_clf_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-19-vk_model_clf_distilbert_en.md
new file mode 100644
index 00000000000000..3b07e5b790d087
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-vk_model_clf_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English vk_model_clf_distilbert DistilBertForSequenceClassification from Paral1ax
+author: John Snow Labs
+name: vk_model_clf_distilbert
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vk_model_clf_distilbert` is a English model originally trained by Paral1ax.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vk_model_clf_distilbert_en_5.5.0_3.0_1726741448389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vk_model_clf_distilbert_en_5.5.0_3.0_1726741448389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vk_model_clf_distilbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Paral1ax/vk_model_clf_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-vk_model_clf_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-vk_model_clf_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..39c2bb41b20eec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-vk_model_clf_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English vk_model_clf_distilbert_pipeline pipeline DistilBertForSequenceClassification from Paral1ax
+author: John Snow Labs
+name: vk_model_clf_distilbert_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vk_model_clf_distilbert_pipeline` is a English model originally trained by Paral1ax.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vk_model_clf_distilbert_pipeline_en_5.5.0_3.0_1726741461486.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vk_model_clf_distilbert_pipeline_en_5.5.0_3.0_1726741461486.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("vk_model_clf_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("vk_model_clf_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vk_model_clf_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Paral1ax/vk_model_clf_distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_base_german_ls01_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_base_german_ls01_en.md
new file mode 100644
index 00000000000000..6ad0e419831320
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_base_german_ls01_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_base_german_ls01 WhisperForCTC from LS01
+author: John Snow Labs
+name: whisper_base_german_ls01
+date: 2024-09-19
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_german_ls01` is a English model originally trained by LS01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_german_ls01_en_5.5.0_3.0_1726788596861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_german_ls01_en_5.5.0_3.0_1726788596861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_german_ls01|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|643.5 MB|
+
+## References
+
+https://huggingface.co/LS01/whisper-base-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_base_german_ls01_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_base_german_ls01_pipeline_en.md
new file mode 100644
index 00000000000000..a8ee606d4fab48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_base_german_ls01_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_german_ls01_pipeline pipeline WhisperForCTC from LS01
+author: John Snow Labs
+name: whisper_base_german_ls01_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_german_ls01_pipeline` is a English model originally trained by LS01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_german_ls01_pipeline_en_5.5.0_3.0_1726788629925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_german_ls01_pipeline_en_5.5.0_3.0_1726788629925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_german_ls01_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_german_ls01_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_german_ls01_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|643.5 MB|
+
+## References
+
+https://huggingface.co/LS01/whisper-base-de
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_big_kmon_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_big_kmon_en.md
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_big_kmon WhisperForCTC from susmitabhatt
+author: John Snow Labs
+name: whisper_big_kmon
+date: 2024-09-19
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_big_kmon` is a English model originally trained by susmitabhatt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_big_kmon_en_5.5.0_3.0_1726757826589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_big_kmon_en_5.5.0_3.0_1726757826589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_nioni|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|643.7 MB|
+
+## References
+
+https://huggingface.co/nioni/whisper-finetuning-phoneme-transcription-g2p-large-dataset-space-seperated-phonemes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_nioni_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_nioni_pipeline_en.md
new file mode 100644
index 00000000000000..590ec4e3cc1892
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_nioni_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_nioni_pipeline pipeline WhisperForCTC from nioni
+author: John Snow Labs
+name: whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_nioni_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_nioni_pipeline` is a English model originally trained by nioni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_nioni_pipeline_en_5.5.0_3.0_1726788419794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_nioni_pipeline_en_5.5.0_3.0_1726788419794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_nioni_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_nioni_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_nioni_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|643.7 MB|
+
+## References
+
+https://huggingface.co/nioni/whisper-finetuning-phoneme-transcription-g2p-large-dataset-space-seperated-phonemes
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_slovak_small_augmented_sk.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_slovak_small_augmented_sk.md
new file mode 100644
index 00000000000000..6b8af969e4359c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_slovak_small_augmented_sk.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Slovak whisper_slovak_small_augmented WhisperForCTC from ALM
+author: John Snow Labs
+name: whisper_slovak_small_augmented
+date: 2024-09-19
+tags: [sk, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: sk
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_slovak_small_augmented` is a Slovak model originally trained by ALM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_slovak_small_augmented_sk_5.5.0_3.0_1726787800348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_slovak_small_augmented_sk_5.5.0_3.0_1726787800348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_eg|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ar|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/abuelnasr/whisper-small-eg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_small_hindi_zemans_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_hindi_zemans_pipeline_hi.md
new file mode 100644
index 00000000000000..57158acbce9455
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_hindi_zemans_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_zemans_pipeline pipeline WhisperForCTC from Zemans
+author: John Snow Labs
+name: whisper_small_hindi_zemans_pipeline
+date: 2024-09-19
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_zemans_pipeline` is a Hindi model originally trained by Zemans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_zemans_pipeline_hi_5.5.0_3.0_1726755502035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_zemans_pipeline_hi_5.5.0_3.0_1726755502035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_zemans_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_zemans_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_zemans_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Zemans/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_small_indonesian_rizka_id.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_indonesian_rizka_id.md
new file mode 100644
index 00000000000000..f575a16a55fccc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_indonesian_rizka_id.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Indonesian whisper_small_indonesian_rizka WhisperForCTC from Rizka
+author: John Snow Labs
+name: whisper_small_indonesian_rizka
+date: 2024-09-19
+tags: [id, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_indonesian_rizka` is a Indonesian model originally trained by Rizka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_rizka_id_5.5.0_3.0_1726756038152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_rizka_id_5.5.0_3.0_1726756038152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_catalan_zuazo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ca|
+|Size:|390.4 MB|
+
+## References
+
+https://huggingface.co/zuazo/whisper-tiny-ca
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_catalan_zuazo_pipeline_ca.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_catalan_zuazo_pipeline_ca.md
new file mode 100644
index 00000000000000..558fc895a54011
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_catalan_zuazo_pipeline_ca.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Catalan, Valencian whisper_tiny_catalan_zuazo_pipeline pipeline WhisperForCTC from zuazo
+author: John Snow Labs
+name: whisper_tiny_catalan_zuazo_pipeline
+date: 2024-09-19
+tags: [ca, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ca
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_catalan_zuazo_pipeline` is a Catalan, Valencian model originally trained by zuazo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_catalan_zuazo_pipeline_ca_5.5.0_3.0_1726789136994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_catalan_zuazo_pipeline_ca_5.5.0_3.0_1726789136994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_catalan_zuazo_pipeline", lang = "ca")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_catalan_zuazo_pipeline", lang = "ca")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_catalan_zuazo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ca|
+|Size:|390.4 MB|
+
+## References
+
+https://huggingface.co/zuazo/whisper-tiny-ca
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_english_atco2_asr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_english_atco2_asr_pipeline_en.md
new file mode 100644
index 00000000000000..cb6f618287d59f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_english_atco2_asr_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_english_atco2_asr_pipeline pipeline WhisperForCTC from jlvdoorn
+author: John Snow Labs
+name: whisper_tiny_english_atco2_asr_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_english_atco2_asr_pipeline` is a English model originally trained by jlvdoorn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_atco2_asr_pipeline_en_5.5.0_3.0_1726788154837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_atco2_asr_pipeline_en_5.5.0_3.0_1726788154837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_english_atco2_asr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_english_atco2_asr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_english_atco2_asr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|393.9 MB|
+
+## References
+
+https://huggingface.co/jlvdoorn/whisper-tiny.en-atco2-asr
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_english_minds14_magnustragardh_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_english_minds14_magnustragardh_en.md
new file mode 100644
index 00000000000000..514a7ba0452407
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_english_minds14_magnustragardh_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_english_minds14_magnustragardh WhisperForCTC from magnustragardh
+author: John Snow Labs
+name: whisper_tiny_english_minds14_magnustragardh
+date: 2024-09-19
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_english_minds14_magnustragardh` is a English model originally trained by magnustragardh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_minds14_magnustragardh_en_5.5.0_3.0_1726788938684.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_minds14_magnustragardh_en_5.5.0_3.0_1726788938684.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_english_minds14_magnustragardh|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/magnustragardh/whisper-tiny-en-minds14
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_indonesian_cahya_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_indonesian_cahya_pipeline_id.md
new file mode 100644
index 00000000000000..d0d62ab6f56375
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_indonesian_cahya_pipeline_id.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Indonesian whisper_tiny_indonesian_cahya_pipeline pipeline WhisperForCTC from cahya
+author: John Snow Labs
+name: whisper_tiny_indonesian_cahya_pipeline
+date: 2024-09-19
+tags: [id, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_indonesian_cahya_pipeline` is a Indonesian model originally trained by cahya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_indonesian_cahya_pipeline_id_5.5.0_3.0_1726712685117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_indonesian_cahya_pipeline_id_5.5.0_3.0_1726712685117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_indonesian_cahya_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_indonesian_cahya_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_indonesian_cahya_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|389.8 MB|
+
+## References
+
+https://huggingface.co/cahya/whisper-tiny-id
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_minds14_english_us_mechabunny19c_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_minds14_english_us_mechabunny19c_en.md
new file mode 100644
index 00000000000000..d9d981fc179439
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_minds14_english_us_mechabunny19c_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_minds14_english_us_mechabunny19c WhisperForCTC from MechaBunny19c
+author: John Snow Labs
+name: whisper_tiny_minds14_english_us_mechabunny19c
+date: 2024-09-19
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds14_english_us_mechabunny19c` is a English model originally trained by MechaBunny19c.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_us_mechabunny19c_en_5.5.0_3.0_1726788335662.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_us_mechabunny19c_en_5.5.0_3.0_1726788335662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_english_us_mechabunny19c|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/MechaBunny19c/whisper-tiny-minds14-en-US
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_minds14_english_us_mechabunny19c_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_minds14_english_us_mechabunny19c_pipeline_en.md
new file mode 100644
index 00000000000000..a43dad70e88e7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_minds14_english_us_mechabunny19c_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_minds14_english_us_mechabunny19c_pipeline pipeline WhisperForCTC from MechaBunny19c
+author: John Snow Labs
+name: whisper_tiny_minds14_english_us_mechabunny19c_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds14_english_us_mechabunny19c_pipeline` is a English model originally trained by MechaBunny19c.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_us_mechabunny19c_pipeline_en_5.5.0_3.0_1726788355141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_us_mechabunny19c_pipeline_en_5.5.0_3.0_1726788355141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_minds14_english_us_mechabunny19c_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_minds14_english_us_mechabunny19c_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_english_us_mechabunny19c_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/MechaBunny19c/whisper-tiny-minds14-en-US
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_serbian_combined_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_serbian_combined_en.md
new file mode 100644
index 00000000000000..375370de5cec2e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_serbian_combined_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_serbian_combined WhisperForCTC from cminja
+author: John Snow Labs
+name: whisper_tiny_serbian_combined
+date: 2024-09-19
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_serbian_combined` is a English model originally trained by cminja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_serbian_combined_en_5.5.0_3.0_1726788892572.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_serbian_combined_en_5.5.0_3.0_1726788892572.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_sinhala_20k_8k_steps_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.1 MB|
+
+## References
+
+https://huggingface.co/Ransaka/whisper-tiny-sinhala-20k-8k-steps-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_sinhala_20k_8k_steps_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_sinhala_20k_8k_steps_v2_pipeline_en.md
new file mode 100644
index 00000000000000..77fa3ca61b304b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_sinhala_20k_8k_steps_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_sinhala_20k_8k_steps_v2_pipeline pipeline WhisperForCTC from Ransaka
+author: John Snow Labs
+name: whisper_tiny_sinhala_20k_8k_steps_v2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_sinhala_20k_8k_steps_v2_pipeline` is a English model originally trained by Ransaka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_sinhala_20k_8k_steps_v2_pipeline_en_5.5.0_3.0_1726755295718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_sinhala_20k_8k_steps_v2_pipeline_en_5.5.0_3.0_1726755295718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_sinhala_20k_8k_steps_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_sinhala_20k_8k_steps_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_sinhala_20k_8k_steps_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.1 MB|
+
+## References
+
+https://huggingface.co/Ransaka/whisper-tiny-sinhala-20k-8k-steps-v2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_albiecofie_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_albiecofie_en.md
new file mode 100644
index 00000000000000..0fd7eabfd90ae7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_albiecofie_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_albiecofie XlmRoBertaForSequenceClassification from AlbieCofie
+author: John Snow Labs
+name: xlm_roberta_base_albiecofie
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_albiecofie` is a English model originally trained by AlbieCofie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_albiecofie_en_5.5.0_3.0_1726752855780.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_albiecofie_en_5.5.0_3.0_1726752855780.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_albiecofie|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/AlbieCofie/xlm_roberta_base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_final_vietnam_aug_backtranslation_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_final_vietnam_aug_backtranslation_2_pipeline_en.md
new file mode 100644
index 00000000000000..47b8ed420eff49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_final_vietnam_aug_backtranslation_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_final_vietnam_aug_backtranslation_2_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_vietnam_aug_backtranslation_2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_vietnam_aug_backtranslation_2_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_vietnam_aug_backtranslation_2_pipeline_en_5.5.0_3.0_1726721223351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_vietnam_aug_backtranslation_2_pipeline_en_5.5.0_3.0_1726721223351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_final_vietnam_aug_backtranslation_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_final_vietnam_aug_backtranslation_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_vietnam_aug_backtranslation_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|795.6 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_VietNam-aug_backtranslation-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_en.md
new file mode 100644
index 00000000000000..31abc501110825
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1 XlmRoBertaForSequenceClassification from vg055
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1` is a English model originally trained by vg055.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_en_5.5.0_3.0_1726753052194.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_en_5.5.0_3.0_1726753052194.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|893.7 MB|
+
+## References
+
+https://huggingface.co/vg055/xlm-roberta-base-finetuned-IberAuTexTification2024-7030-task1-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_pipeline_en.md
new file mode 100644
index 00000000000000..def28f3037ba9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_pipeline pipeline XlmRoBertaForSequenceClassification from vg055
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_pipeline` is a English model originally trained by vg055.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_pipeline_en_5.5.0_3.0_1726753122810.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_pipeline_en_5.5.0_3.0_1726753122810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_iberautextification2024_7030_task1_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|893.7 MB|
+
+## References
+
+https://huggingface.co/vg055/xlm-roberta-base-finetuned-IberAuTexTification2024-7030-task1-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_marc_jiejiang_jojo_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_marc_jiejiang_jojo_en.md
new file mode 100644
index 00000000000000..53957cc4a257eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_marc_jiejiang_jojo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_marc_jiejiang_jojo XlmRoBertaForSequenceClassification from jiejiang-jojo
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_marc_jiejiang_jojo
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_marc_jiejiang_jojo` is a English model originally trained by jiejiang-jojo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_jiejiang_jojo_en_5.5.0_3.0_1726752071313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_jiejiang_jojo_en_5.5.0_3.0_1726752071313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_marc_jiejiang_jojo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|812.4 MB|
+
+## References
+
+https://huggingface.co/jiejiang-jojo/xlm-roberta-base-finetuned-marc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_marc_jiejiang_jojo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_marc_jiejiang_jojo_pipeline_en.md
new file mode 100644
index 00000000000000..43fee8ebbe45f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_marc_jiejiang_jojo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_marc_jiejiang_jojo_pipeline pipeline XlmRoBertaForSequenceClassification from jiejiang-jojo
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_marc_jiejiang_jojo_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_marc_jiejiang_jojo_pipeline` is a English model originally trained by jiejiang-jojo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_jiejiang_jojo_pipeline_en_5.5.0_3.0_1726752196356.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_jiejiang_jojo_pipeline_en_5.5.0_3.0_1726752196356.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_marc_jiejiang_jojo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_marc_jiejiang_jojo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_marc_jiejiang_jojo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|812.5 MB|
+
+## References
+
+https://huggingface.co/jiejiang-jojo/xlm-roberta-base-finetuned-marc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_english_mealduct_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_english_mealduct_en.md
new file mode 100644
index 00000000000000..471b3b5d648675
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_english_mealduct_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_mealduct XlmRoBertaForTokenClassification from MealDuct
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_mealduct
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_mealduct` is a English model originally trained by MealDuct.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_mealduct_en_5.5.0_3.0_1726754326111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_mealduct_en_5.5.0_3.0_1726754326111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_mealduct|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|814.3 MB|
+
+## References
+
+https://huggingface.co/MealDuct/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_english_mealduct_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_english_mealduct_pipeline_en.md
new file mode 100644
index 00000000000000..92bde41e1c698a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_english_mealduct_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_mealduct_pipeline pipeline XlmRoBertaForTokenClassification from MealDuct
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_mealduct_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_mealduct_pipeline` is a English model originally trained by MealDuct.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_mealduct_pipeline_en_5.5.0_3.0_1726754436145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_mealduct_pipeline_en_5.5.0_3.0_1726754436145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_mealduct_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_mealduct_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_mealduct_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|814.3 MB|
+
+## References
+
+https://huggingface.co/MealDuct/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_en.md
new file mode 100644
index 00000000000000..a0b1155de2b668
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_0ppxnhximxr XlmRoBertaForTokenClassification from 0ppxnhximxr
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_0ppxnhximxr
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_0ppxnhximxr` is a English model originally trained by 0ppxnhximxr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_en_5.5.0_3.0_1726737480780.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_en_5.5.0_3.0_1726737480780.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_0ppxnhximxr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/0ppxnhximxr/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_pipeline_en.md
new file mode 100644
index 00000000000000..389f3320330cf7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_pipeline pipeline XlmRoBertaForTokenClassification from 0ppxnhximxr
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_pipeline` is a English model originally trained by 0ppxnhximxr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_pipeline_en_5.5.0_3.0_1726737574859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_pipeline_en_5.5.0_3.0_1726737574859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_0ppxnhximxr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/0ppxnhximxr/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_aaa01101312_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_aaa01101312_en.md
new file mode 100644
index 00000000000000..3fc2f628b801a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_aaa01101312_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_aaa01101312 XlmRoBertaForTokenClassification from AAA01101312
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_aaa01101312
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_aaa01101312` is a English model originally trained by AAA01101312.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_aaa01101312_en_5.5.0_3.0_1726711519211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_aaa01101312_en_5.5.0_3.0_1726711519211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_aaa01101312|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/AAA01101312/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_bluetree99_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_bluetree99_pipeline_en.md
new file mode 100644
index 00000000000000..70f036c603fa1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_bluetree99_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_bluetree99_pipeline pipeline XlmRoBertaForTokenClassification from bluetree99
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_bluetree99_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_bluetree99_pipeline` is a English model originally trained by bluetree99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_bluetree99_pipeline_en_5.5.0_3.0_1726753707671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_bluetree99_pipeline_en_5.5.0_3.0_1726753707671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_bluetree99_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_bluetree99_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_bluetree99_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/bluetree99/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_occupy1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_occupy1_pipeline_en.md
new file mode 100644
index 00000000000000..03ecc3e53a4748
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_occupy1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_occupy1_pipeline pipeline XlmRoBertaForTokenClassification from occupy1
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_occupy1_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_occupy1_pipeline` is a English model originally trained by occupy1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_occupy1_pipeline_en_5.5.0_3.0_1726754494748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_occupy1_pipeline_en_5.5.0_3.0_1726754494748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_occupy1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_occupy1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_occupy1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/occupy1/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_param_mehta_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_param_mehta_en.md
new file mode 100644
index 00000000000000..dc91d769ce0438
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_param_mehta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_param_mehta XlmRoBertaForTokenClassification from param-mehta
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_param_mehta
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_param_mehta` is a English model originally trained by param-mehta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_param_mehta_en_5.5.0_3.0_1726737143659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_param_mehta_en_5.5.0_3.0_1726737143659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_param_mehta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|831.8 MB|
+
+## References
+
+https://huggingface.co/param-mehta/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_param_mehta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_param_mehta_pipeline_en.md
new file mode 100644
index 00000000000000..a1294b1d32556a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_param_mehta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_param_mehta_pipeline pipeline XlmRoBertaForTokenClassification from param-mehta
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_param_mehta_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_param_mehta_pipeline` is a English model originally trained by param-mehta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_param_mehta_pipeline_en_5.5.0_3.0_1726737231987.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_param_mehta_pipeline_en_5.5.0_3.0_1726737231987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_param_mehta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_param_mehta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_param_mehta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|831.8 MB|
+
+## References
+
+https://huggingface.co/param-mehta/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_azaidi_face_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_azaidi_face_pipeline_en.md
new file mode 100644
index 00000000000000..9cf930ce417c19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_azaidi_face_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_azaidi_face_pipeline pipeline XlmRoBertaForTokenClassification from azaidi-face
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_azaidi_face_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_azaidi_face_pipeline` is a English model originally trained by azaidi-face.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_azaidi_face_pipeline_en_5.5.0_3.0_1726753997358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_azaidi_face_pipeline_en_5.5.0_3.0_1726753997358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_azaidi_face_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_azaidi_face_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_azaidi_face_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/azaidi-face/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_chaoli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_chaoli_pipeline_en.md
new file mode 100644
index 00000000000000..a4b73fbe77e46b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_chaoli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_chaoli_pipeline pipeline XlmRoBertaForTokenClassification from ChaoLi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_chaoli_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_chaoli_pipeline` is a English model originally trained by ChaoLi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_chaoli_pipeline_en_5.5.0_3.0_1726709046603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_chaoli_pipeline_en_5.5.0_3.0_1726709046603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_chaoli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_chaoli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_chaoli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/ChaoLi/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_mcparty2_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_mcparty2_en.md
new file mode 100644
index 00000000000000..4b37e96a91d693
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_mcparty2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_mcparty2 XlmRoBertaForTokenClassification from mcparty2
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_mcparty2
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_mcparty2` is a English model originally trained by mcparty2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_mcparty2_en_5.5.0_3.0_1726738113882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_mcparty2_en_5.5.0_3.0_1726738113882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_mcparty2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/mcparty2/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_svensk_k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_svensk_k_pipeline_en.md
new file mode 100644
index 00000000000000..ab357c39e300f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_svensk_k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_svensk_k_pipeline pipeline XlmRoBertaForTokenClassification from svensk-k
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_svensk_k_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_svensk_k_pipeline` is a English model originally trained by svensk-k.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_svensk_k_pipeline_en_5.5.0_3.0_1726708768979.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_svensk_k_pipeline_en_5.5.0_3.0_1726708768979.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_svensk_k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_svensk_k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_svensk_k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/svensk-k/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_huggingbase_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_huggingbase_pipeline_en.md
new file mode 100644
index 00000000000000..35f2eac6725902
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_huggingbase_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_huggingbase_pipeline pipeline XlmRoBertaForTokenClassification from huggingbase
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_huggingbase_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_huggingbase_pipeline` is a English model originally trained by huggingbase.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_huggingbase_pipeline_en_5.5.0_3.0_1726737382866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_huggingbase_pipeline_en_5.5.0_3.0_1726737382866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_huggingbase_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_huggingbase_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_huggingbase_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/huggingbase/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_jaydipsen_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_jaydipsen_en.md
new file mode 100644
index 00000000000000..2e036d8fe55a42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_jaydipsen_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_jaydipsen XlmRoBertaForTokenClassification from jaydipsen
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_jaydipsen
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_jaydipsen` is a English model originally trained by jaydipsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_jaydipsen_en_5.5.0_3.0_1726737602587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_jaydipsen_en_5.5.0_3.0_1726737602587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_jaydipsen|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/jaydipsen/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_michaelkim_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_michaelkim_en.md
new file mode 100644
index 00000000000000..815563d832fe0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_michaelkim_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_michaelkim XlmRoBertaForTokenClassification from MichaelKim
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_michaelkim
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_michaelkim` is a English model originally trained by MichaelKim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_michaelkim_en_5.5.0_3.0_1726754189694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_michaelkim_en_5.5.0_3.0_1726754189694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_michaelkim|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/MichaelKim/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_nickforme_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_nickforme_en.md
new file mode 100644
index 00000000000000..ba91030b3a1e49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_nickforme_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_nickforme XlmRoBertaForTokenClassification from NickForMe
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_nickforme
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_nickforme` is a English model originally trained by NickForMe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_nickforme_en_5.5.0_3.0_1726738001293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_nickforme_en_5.5.0_3.0_1726738001293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_nickforme|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/NickForMe/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_nickforme_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_nickforme_pipeline_en.md
new file mode 100644
index 00000000000000..b34a2e35085e02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_nickforme_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_nickforme_pipeline pipeline XlmRoBertaForTokenClassification from NickForMe
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_nickforme_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_nickforme_pipeline` is a English model originally trained by NickForMe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_nickforme_pipeline_en_5.5.0_3.0_1726738070881.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_nickforme_pipeline_en_5.5.0_3.0_1726738070881.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_nickforme_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_nickforme_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_nickforme_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/NickForMe/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_ruihui_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_ruihui_pipeline_en.md
new file mode 100644
index 00000000000000..8de6a476deb27c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_ruihui_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_ruihui_pipeline pipeline XlmRoBertaForTokenClassification from ruihui
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_ruihui_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_ruihui_pipeline` is a English model originally trained by ruihui.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_ruihui_pipeline_en_5.5.0_3.0_1726754302513.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_ruihui_pipeline_en_5.5.0_3.0_1726754302513.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_ruihui_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_ruihui_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_ruihui_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|854.4 MB|
+
+## References
+
+https://huggingface.co/ruihui/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_skr1125_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_skr1125_en.md
new file mode 100644
index 00000000000000..ee6a431e6fc3cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_skr1125_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_skr1125 XlmRoBertaForTokenClassification from skr1125
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_skr1125
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_skr1125` is a English model originally trained by skr1125.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_skr1125_en_5.5.0_3.0_1726737155072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_skr1125_en_5.5.0_3.0_1726737155072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_skr1125|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/skr1125/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_skr1125_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_skr1125_pipeline_en.md
new file mode 100644
index 00000000000000..2aafd34ab62736
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_skr1125_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_skr1125_pipeline pipeline XlmRoBertaForTokenClassification from skr1125
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_skr1125_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_skr1125_pipeline` is a English model originally trained by skr1125.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_skr1125_pipeline_en_5.5.0_3.0_1726737224120.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_skr1125_pipeline_en_5.5.0_3.0_1726737224120.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_skr1125_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_skr1125_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_skr1125_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/skr1125/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_tarolling_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_tarolling_en.md
new file mode 100644
index 00000000000000..262cbd9b4d0696
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_tarolling_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_tarolling XlmRoBertaForTokenClassification from tarolling
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_tarolling
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_tarolling` is a English model originally trained by tarolling.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_tarolling_en_5.5.0_3.0_1726754059218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_tarolling_en_5.5.0_3.0_1726754059218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_tarolling|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/tarolling/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_tarolling_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_tarolling_pipeline_en.md
new file mode 100644
index 00000000000000..5e41e7ff2b507f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_tarolling_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_tarolling_pipeline pipeline XlmRoBertaForTokenClassification from tarolling
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_tarolling_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_tarolling_pipeline` is a English model originally trained by tarolling.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_tarolling_pipeline_en_5.5.0_3.0_1726754129385.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_tarolling_pipeline_en_5.5.0_3.0_1726754129385.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_tarolling_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_tarolling_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_tarolling_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/tarolling/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_yongseok_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_yongseok_en.md
new file mode 100644
index 00000000000000..f90a8ec48ebd02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_yongseok_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_yongseok XlmRoBertaForTokenClassification from Yongseok
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_yongseok
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_yongseok` is a English model originally trained by Yongseok.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_yongseok_en_5.5.0_3.0_1726738218498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_yongseok_en_5.5.0_3.0_1726738218498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_yongseok|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/Yongseok/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_yongseok_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_yongseok_pipeline_en.md
new file mode 100644
index 00000000000000..4d38893710b2fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_yongseok_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_yongseok_pipeline pipeline XlmRoBertaForTokenClassification from Yongseok
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_yongseok_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_yongseok_pipeline` is a English model originally trained by Yongseok.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_yongseok_pipeline_en_5.5.0_3.0_1726738287984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_yongseok_pipeline_en_5.5.0_3.0_1726738287984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_yongseok_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_yongseok_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_yongseok_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/Yongseok/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_italian_ridealist_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_italian_ridealist_pipeline_en.md
new file mode 100644
index 00000000000000..01427005b78999
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_italian_ridealist_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_ridealist_pipeline pipeline XlmRoBertaForTokenClassification from Ridealist
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_ridealist_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_ridealist_pipeline` is a English model originally trained by Ridealist.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_ridealist_pipeline_en_5.5.0_3.0_1726737948184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_ridealist_pipeline_en_5.5.0_3.0_1726737948184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_ridealist_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_ridealist_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_ridealist_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|816.8 MB|
+
+## References
+
+https://huggingface.co/Ridealist/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_italian_xrchen11_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_italian_xrchen11_pipeline_en.md
new file mode 100644
index 00000000000000..879fb5a983eeff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_italian_xrchen11_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_xrchen11_pipeline pipeline XlmRoBertaForTokenClassification from xrchen11
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_xrchen11_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_xrchen11_pipeline` is a English model originally trained by xrchen11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_xrchen11_pipeline_en_5.5.0_3.0_1726753895211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_xrchen11_pipeline_en_5.5.0_3.0_1726753895211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_xrchen11_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_xrchen11_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_xrchen11_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|816.8 MB|
+
+## References
+
+https://huggingface.co/xrchen11/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_lr0_0001_seed42_basic_original_amh_esp_eng_train_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_lr0_0001_seed42_basic_original_amh_esp_eng_train_en.md
new file mode 100644
index 00000000000000..238698e7c3df0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_lr0_0001_seed42_basic_original_amh_esp_eng_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_lr0_0001_seed42_basic_original_amh_esp_eng_train XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr0_0001_seed42_basic_original_amh_esp_eng_train
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr0_0001_seed42_basic_original_amh_esp_eng_train` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_0001_seed42_basic_original_amh_esp_eng_train_en_5.5.0_3.0_1726752688116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_0001_seed42_basic_original_amh_esp_eng_train_en_5.5.0_3.0_1726752688116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr0_0001_seed42_basic_original_amh_esp_eng_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|821.8 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr0.0001_seed42_basic_original_amh-esp-eng_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_mixed_aug_replace_tfidf_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_mixed_aug_replace_tfidf_en.md
new file mode 100644
index 00000000000000..8903954d21eb3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_mixed_aug_replace_tfidf_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_mixed_aug_replace_tfidf XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_mixed_aug_replace_tfidf
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_mixed_aug_replace_tfidf` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_mixed_aug_replace_tfidf_en_5.5.0_3.0_1726721547307.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_mixed_aug_replace_tfidf_en_5.5.0_3.0_1726721547307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_mixed_aug_replace_tfidf|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|795.6 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Mixed-aug_replace_tfidf
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_mixed_aug_replace_tfidf_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_mixed_aug_replace_tfidf_pipeline_en.md
new file mode 100644
index 00000000000000..fe0c07230ca2bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_mixed_aug_replace_tfidf_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_mixed_aug_replace_tfidf_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_mixed_aug_replace_tfidf_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_mixed_aug_replace_tfidf_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_mixed_aug_replace_tfidf_pipeline_en_5.5.0_3.0_1726721683041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_mixed_aug_replace_tfidf_pipeline_en_5.5.0_3.0_1726721683041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_mixed_aug_replace_tfidf_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_mixed_aug_replace_tfidf_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_mixed_aug_replace_tfidf_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|795.6 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Mixed-aug_replace_tfidf
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_xnli_english_trimmed_english_60000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_xnli_english_trimmed_english_60000_pipeline_en.md
new file mode 100644
index 00000000000000..c48da88ab0f064
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_xnli_english_trimmed_english_60000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_english_trimmed_english_60000_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_english_trimmed_english_60000_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_english_trimmed_english_60000_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_english_trimmed_english_60000_pipeline_en_5.5.0_3.0_1726720964138.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_english_trimmed_english_60000_pipeline_en_5.5.0_3.0_1726720964138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_xnli_english_trimmed_english_60000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_xnli_english_trimmed_english_60000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_english_trimmed_english_60000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-en-trimmed-en-60000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_finetuned_emojis_1_client_toxic_cen_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_finetuned_emojis_1_client_toxic_cen_2_pipeline_en.md
new file mode 100644
index 00000000000000..b8e7ac48263112
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_finetuned_emojis_1_client_toxic_cen_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_finetuned_emojis_1_client_toxic_cen_2_pipeline pipeline XlmRoBertaForSequenceClassification from Karim-Gamal
+author: John Snow Labs
+name: xlm_roberta_finetuned_emojis_1_client_toxic_cen_2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_finetuned_emojis_1_client_toxic_cen_2_pipeline` is a English model originally trained by Karim-Gamal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_1_client_toxic_cen_2_pipeline_en_5.5.0_3.0_1726752235550.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_1_client_toxic_cen_2_pipeline_en_5.5.0_3.0_1726752235550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_finetuned_emojis_1_client_toxic_cen_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_finetuned_emojis_1_client_toxic_cen_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_finetuned_emojis_1_client_toxic_cen_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Karim-Gamal/XLM-Roberta-finetuned-emojis-1-client-toxic-cen-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlmr_nepali_english_all_shuffled_764_test1000_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlmr_nepali_english_all_shuffled_764_test1000_en.md
new file mode 100644
index 00000000000000..2a2b7457f92f33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlmr_nepali_english_all_shuffled_764_test1000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_nepali_english_all_shuffled_764_test1000 XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_nepali_english_all_shuffled_764_test1000
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_nepali_english_all_shuffled_764_test1000` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_nepali_english_all_shuffled_764_test1000_en_5.5.0_3.0_1726753054492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_nepali_english_all_shuffled_764_test1000_en_5.5.0_3.0_1726753054492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_nepali_english_all_shuffled_764_test1000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|819.2 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-ne-en-all_shuffled-764-test1000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlmr_nepali_english_all_shuffled_764_test1000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlmr_nepali_english_all_shuffled_764_test1000_pipeline_en.md
new file mode 100644
index 00000000000000..ffb13eec15999c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlmr_nepali_english_all_shuffled_764_test1000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlmr_nepali_english_all_shuffled_764_test1000_pipeline pipeline XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_nepali_english_all_shuffled_764_test1000_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_nepali_english_all_shuffled_764_test1000_pipeline` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_nepali_english_all_shuffled_764_test1000_pipeline_en_5.5.0_3.0_1726753179871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_nepali_english_all_shuffled_764_test1000_pipeline_en_5.5.0_3.0_1726753179871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmr_nepali_english_all_shuffled_764_test1000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmr_nepali_english_all_shuffled_764_test1000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_nepali_english_all_shuffled_764_test1000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|819.2 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-ne-en-all_shuffled-764-test1000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xmlroberta_gendata_double_en.md b/docs/_posts/ahmedlone127/2024-09-19-xmlroberta_gendata_double_en.md
new file mode 100644
index 00000000000000..fc056a299a724c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xmlroberta_gendata_double_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xmlroberta_gendata_double XlmRoBertaForSequenceClassification from Constien
+author: John Snow Labs
+name: xmlroberta_gendata_double
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xmlroberta_gendata_double` is a English model originally trained by Constien.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xmlroberta_gendata_double_en_5.5.0_3.0_1726752087186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xmlroberta_gendata_double_en_5.5.0_3.0_1726752087186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yt_title_grader|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+References
+
+https://huggingface.co/focia/yt-title-grader
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-yt_title_grader_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-yt_title_grader_pipeline_en.md
new file mode 100644
index 00000000000000..5ebd24192d3bf7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-yt_title_grader_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English yt_title_grader_pipeline pipeline DistilBertForSequenceClassification from vargr
+author: John Snow Labs
+name: yt_title_grader_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yt_title_grader_pipeline` is a English model originally trained by vargr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yt_title_grader_pipeline_en_5.5.0_3.0_1726743547296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yt_title_grader_pipeline_en_5.5.0_3.0_1726743547296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("yt_title_grader_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("yt_title_grader_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yt_title_grader_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vargr/yt-title-grader
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-2020_q4_25p_filtered_en.md b/docs/_posts/ahmedlone127/2024-09-20-2020_q4_25p_filtered_en.md
new file mode 100644
index 00000000000000..a947c886105fb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-2020_q4_25p_filtered_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2020_q4_25p_filtered RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q4_25p_filtered
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q4_25p_filtered` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q4_25p_filtered_en_5.5.0_3.0_1726796723799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q4_25p_filtered_en_5.5.0_3.0_1726796723799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q4_25p_filtered|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q4-25p-filtered
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-4_datasets_fake_news_with_covid_balanced_others_norwegian_en.md b/docs/_posts/ahmedlone127/2024-09-20-4_datasets_fake_news_with_covid_balanced_others_norwegian_en.md
new file mode 100644
index 00000000000000..ec8644fe88548f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-4_datasets_fake_news_with_covid_balanced_others_norwegian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 4_datasets_fake_news_with_covid_balanced_others_norwegian DistilBertForSequenceClassification from littlepinhorse
+author: John Snow Labs
+name: 4_datasets_fake_news_with_covid_balanced_others_norwegian
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`4_datasets_fake_news_with_covid_balanced_others_norwegian` is a English model originally trained by littlepinhorse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/4_datasets_fake_news_with_covid_balanced_others_norwegian_en_5.5.0_3.0_1726792023287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/4_datasets_fake_news_with_covid_balanced_others_norwegian_en_5.5.0_3.0_1726792023287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|4_datasets_fake_news_with_covid_balanced_others_norwegian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/littlepinhorse/4_datasets_fake_news_with_covid_balanced_others_no
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_auto_and_commute_16_16_5_oos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_auto_and_commute_16_16_5_oos_pipeline_en.md
new file mode 100644
index 00000000000000..97c77d3de20aa0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_auto_and_commute_16_16_5_oos_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_auto_and_commute_16_16_5_oos_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_auto_and_commute_16_16_5_oos_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_auto_and_commute_16_16_5_oos_pipeline` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_auto_and_commute_16_16_5_oos_pipeline_en_5.5.0_3.0_1726805533786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_auto_and_commute_16_16_5_oos_pipeline_en_5.5.0_3.0_1726805533786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_roberta_large_v1_auto_and_commute_16_16_5_oos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_auto_and_commute_16_16_5_oos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_auto_and_commute_16_16_5_oos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-auto_and_commute-16-16-5-oos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_banking_1000_16_5_oos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_banking_1000_16_5_oos_pipeline_en.md
new file mode 100644
index 00000000000000..1560a248b3f67d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_banking_1000_16_5_oos_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_banking_1000_16_5_oos_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_banking_1000_16_5_oos_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_banking_1000_16_5_oos_pipeline` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_banking_1000_16_5_oos_pipeline_en_5.5.0_3.0_1726804675442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_banking_1000_16_5_oos_pipeline_en_5.5.0_3.0_1726804675442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_roberta_large_v1_banking_1000_16_5_oos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_banking_1000_16_5_oos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_banking_1000_16_5_oos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-banking-1000-16-5-oos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-autotrain_v2v7o_9tu3d_en.md b/docs/_posts/ahmedlone127/2024-09-20-autotrain_v2v7o_9tu3d_en.md
new file mode 100644
index 00000000000000..8d96f64df42984
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-autotrain_v2v7o_9tu3d_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autotrain_v2v7o_9tu3d DistilBertForSequenceClassification from cuwfnguyen
+author: John Snow Labs
+name: autotrain_v2v7o_9tu3d
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_v2v7o_9tu3d` is a English model originally trained by cuwfnguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_v2v7o_9tu3d_en_5.5.0_3.0_1726792375295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_v2v7o_9tu3d_en_5.5.0_3.0_1726792375295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berit_52000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|469.9 MB|
+
+## References
+
+https://huggingface.co/gngpostalsrvc/BERiT_52000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_banking77_pt2_saeed7272_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_banking77_pt2_saeed7272_en.md
new file mode 100644
index 00000000000000..7e6c5f62623c7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_banking77_pt2_saeed7272_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_saeed7272 BertForSequenceClassification from saeed7272
+author: John Snow Labs
+name: bert_base_banking77_pt2_saeed7272
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_saeed7272` is a English model originally trained by saeed7272.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_saeed7272_en_5.5.0_3.0_1726795253942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_saeed7272_en_5.5.0_3.0_1726795253942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_saeed7272|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/saeed7272/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_banking77_pt2_saeed7272_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_banking77_pt2_saeed7272_pipeline_en.md
new file mode 100644
index 00000000000000..b975380bb5d0f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_banking77_pt2_saeed7272_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_saeed7272_pipeline pipeline BertForSequenceClassification from saeed7272
+author: John Snow Labs
+name: bert_base_banking77_pt2_saeed7272_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_saeed7272_pipeline` is a English model originally trained by saeed7272.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_saeed7272_pipeline_en_5.5.0_3.0_1726795272512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_saeed7272_pipeline_en_5.5.0_3.0_1726795272512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_saeed7272_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_saeed7272_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_saeed7272_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/saeed7272/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_en.md
new file mode 100644
index 00000000000000..4c1fff03bed7fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440 BertForQuestionAnswering from alcalazans
+author: John Snow Labs
+name: bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440
+date: 2024-09-20
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440` is a English model originally trained by alcalazans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_en_5.5.0_3.0_1726807992874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_en_5.5.0_3.0_1726807992874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.420240915000440
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_pipeline_en.md
new file mode 100644
index 00000000000000..3446983c992248
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_pipeline pipeline BertForQuestionAnswering from alcalazans
+author: John Snow Labs
+name: bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_pipeline` is a English model originally trained by alcalazans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_pipeline_en_5.5.0_3.0_1726808011300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_pipeline_en_5.5.0_3.0_1726808011300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_420240915000440_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.420240915000440
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_emotionsmodified_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_emotionsmodified_en.md
new file mode 100644
index 00000000000000..09acf3818dd0bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_emotionsmodified_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_emotionsmodified BertForSequenceClassification from zbnsl
+author: John Snow Labs
+name: bert_base_uncased_emotionsmodified
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_emotionsmodified` is a English model originally trained by zbnsl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotionsmodified_en_5.5.0_3.0_1726794964891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotionsmodified_en_5.5.0_3.0_1726794964891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_emotionsmodified|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/zbnsl/bert-base-uncased-emotionsModified
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_based_uncased_sst2_e3_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_based_uncased_sst2_e3_en.md
new file mode 100644
index 00000000000000..b839ddea47fbff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_based_uncased_sst2_e3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_based_uncased_sst2_e3 BertForSequenceClassification from EhsanAghazadeh
+author: John Snow Labs
+name: bert_based_uncased_sst2_e3
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_based_uncased_sst2_e3` is a English model originally trained by EhsanAghazadeh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_based_uncased_sst2_e3_en_5.5.0_3.0_1726795377660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_based_uncased_sst2_e3_en_5.5.0_3.0_1726795377660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_based_uncased_sst2_e3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/EhsanAghazadeh/bert-based-uncased-sst2-e3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_based_uncased_sst2_e3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_based_uncased_sst2_e3_pipeline_en.md
new file mode 100644
index 00000000000000..bc16345d30e784
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_based_uncased_sst2_e3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_based_uncased_sst2_e3_pipeline pipeline BertForSequenceClassification from EhsanAghazadeh
+author: John Snow Labs
+name: bert_based_uncased_sst2_e3_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_based_uncased_sst2_e3_pipeline` is a English model originally trained by EhsanAghazadeh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_based_uncased_sst2_e3_pipeline_en_5.5.0_3.0_1726795397055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_based_uncased_sst2_e3_pipeline_en_5.5.0_3.0_1726795397055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_based_uncased_sst2_e3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_based_uncased_sst2_e3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_based_uncased_sst2_e3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/EhsanAghazadeh/bert-based-uncased-sst2-e3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_distilled_multi_teacher_model_sentiment_hp_optimized_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_distilled_multi_teacher_model_sentiment_hp_optimized_en.md
new file mode 100644
index 00000000000000..a94cec08c6ad77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_distilled_multi_teacher_model_sentiment_hp_optimized_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_distilled_multi_teacher_model_sentiment_hp_optimized DistilBertForSequenceClassification from ArafatBHossain
+author: John Snow Labs
+name: bert_distilled_multi_teacher_model_sentiment_hp_optimized
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_distilled_multi_teacher_model_sentiment_hp_optimized` is a English model originally trained by ArafatBHossain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_distilled_multi_teacher_model_sentiment_hp_optimized_en_5.5.0_3.0_1726791966294.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_distilled_multi_teacher_model_sentiment_hp_optimized_en_5.5.0_3.0_1726791966294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|brwac_v1_5__checkpoint12|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.2 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/brwac_v1_5__checkpoint12
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-brwac_v1_5__checkpoint12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-brwac_v1_5__checkpoint12_pipeline_en.md
new file mode 100644
index 00000000000000..7221490b787d73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-brwac_v1_5__checkpoint12_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English brwac_v1_5__checkpoint12_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: brwac_v1_5__checkpoint12_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`brwac_v1_5__checkpoint12_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/brwac_v1_5__checkpoint12_pipeline_en_5.5.0_3.0_1726794101509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/brwac_v1_5__checkpoint12_pipeline_en_5.5.0_3.0_1726794101509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("brwac_v1_5__checkpoint12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("brwac_v1_5__checkpoint12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|brwac_v1_5__checkpoint12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.2 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/brwac_v1_5__checkpoint12
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-brwac_v1_5__checkpoint_last_en.md b/docs/_posts/ahmedlone127/2024-09-20-brwac_v1_5__checkpoint_last_en.md
new file mode 100644
index 00000000000000..a0172005a1049d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-brwac_v1_5__checkpoint_last_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English brwac_v1_5__checkpoint_last RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: brwac_v1_5__checkpoint_last
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`brwac_v1_5__checkpoint_last` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/brwac_v1_5__checkpoint_last_en_5.5.0_3.0_1726815931883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/brwac_v1_5__checkpoint_last_en_5.5.0_3.0_1726815931883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|brwac_v1_5__checkpoint_last|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|296.8 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/brwac_v1_5__checkpoint_last
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-brwac_v1_5__checkpoint_last_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-brwac_v1_5__checkpoint_last_pipeline_en.md
new file mode 100644
index 00000000000000..bc73a5ac1cb716
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-brwac_v1_5__checkpoint_last_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English brwac_v1_5__checkpoint_last_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: brwac_v1_5__checkpoint_last_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`brwac_v1_5__checkpoint_last_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/brwac_v1_5__checkpoint_last_pipeline_en_5.5.0_3.0_1726816020956.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/brwac_v1_5__checkpoint_last_pipeline_en_5.5.0_3.0_1726816020956.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("brwac_v1_5__checkpoint_last_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("brwac_v1_5__checkpoint_last_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|brwac_v1_5__checkpoint_last_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|296.8 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/brwac_v1_5__checkpoint_last
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_diodiodada_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_diodiodada_pipeline_en.md
new file mode 100644
index 00000000000000..d05823d95f10ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_diodiodada_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_diodiodada_pipeline pipeline DistilBertForSequenceClassification from diodiodada
+author: John Snow Labs
+name: burmese_awesome_model_diodiodada_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_diodiodada_pipeline` is a English model originally trained by diodiodada.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_diodiodada_pipeline_en_5.5.0_3.0_1726809223557.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_diodiodada_pipeline_en_5.5.0_3.0_1726809223557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_diodiodada_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_diodiodada_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_diodiodada_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/diodiodada/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_imdb_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_imdb_en.md
new file mode 100644
index 00000000000000..255740ca4139d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_imdb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_imdb DistilBertForSequenceClassification from Sif10
+author: John Snow Labs
+name: burmese_awesome_model_imdb
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_imdb` is a English model originally trained by Sif10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_imdb_en_5.5.0_3.0_1726809104871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_imdb_en_5.5.0_3.0_1726809104871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_imdb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sif10/my_awesome_model_imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_s_kinoshita_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_s_kinoshita_pipeline_en.md
new file mode 100644
index 00000000000000..bb438a465504b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_s_kinoshita_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_s_kinoshita_pipeline pipeline DistilBertForSequenceClassification from s-kinoshita
+author: John Snow Labs
+name: burmese_awesome_model_s_kinoshita_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_s_kinoshita_pipeline` is a English model originally trained by s-kinoshita.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_s_kinoshita_pipeline_en_5.5.0_3.0_1726809219221.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_s_kinoshita_pipeline_en_5.5.0_3.0_1726809219221.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_s_kinoshita_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_s_kinoshita_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_s_kinoshita_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/s-kinoshita/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_sibumi_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_sibumi_en.md
new file mode 100644
index 00000000000000..b2a7da05f0118f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_sibumi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_sibumi DistilBertForSequenceClassification from sibumi
+author: John Snow Labs
+name: burmese_awesome_model_sibumi
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_sibumi` is a English model originally trained by sibumi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sibumi_en_5.5.0_3.0_1726791875509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sibumi_en_5.5.0_3.0_1726791875509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_sibumi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sibumi/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_soosookentelmanis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_soosookentelmanis_pipeline_en.md
new file mode 100644
index 00000000000000..4242ee37ec9698
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_soosookentelmanis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_soosookentelmanis_pipeline pipeline DistilBertForSequenceClassification from soosookentelmanis
+author: John Snow Labs
+name: burmese_awesome_model_soosookentelmanis_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_soosookentelmanis_pipeline` is a English model originally trained by soosookentelmanis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_soosookentelmanis_pipeline_en_5.5.0_3.0_1726809215451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_soosookentelmanis_pipeline_en_5.5.0_3.0_1726809215451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_soosookentelmanis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_soosookentelmanis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_soosookentelmanis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/soosookentelmanis/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_qa_model_balchid_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_qa_model_balchid_en.md
new file mode 100644
index 00000000000000..e01154ec7a33d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_qa_model_balchid_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_balchid BertForQuestionAnswering from balchid
+author: John Snow Labs
+name: burmese_awesome_qa_model_balchid
+date: 2024-09-20
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_balchid` is a English model originally trained by balchid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_balchid_en_5.5.0_3.0_1726808416100.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_balchid_en_5.5.0_3.0_1726808416100.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_balchid|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/balchid/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_qa_model_balchid_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_qa_model_balchid_pipeline_en.md
new file mode 100644
index 00000000000000..be0b091362b9b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_qa_model_balchid_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_balchid_pipeline pipeline BertForQuestionAnswering from balchid
+author: John Snow Labs
+name: burmese_awesome_qa_model_balchid_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_balchid_pipeline` is a English model originally trained by balchid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_balchid_pipeline_en_5.5.0_3.0_1726808435158.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_balchid_pipeline_en_5.5.0_3.0_1726808435158.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_balchid_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_balchid_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_balchid_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/balchid/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_idea_classification_model_trial_1_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_idea_classification_model_trial_1_en.md
new file mode 100644
index 00000000000000..a49ff1f2603109
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_idea_classification_model_trial_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_idea_classification_model_trial_1 DistilBertForSequenceClassification from manimaranpa07
+author: John Snow Labs
+name: burmese_idea_classification_model_trial_1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_idea_classification_model_trial_1` is a English model originally trained by manimaranpa07.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_idea_classification_model_trial_1_en_5.5.0_3.0_1726809102475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_idea_classification_model_trial_1_en_5.5.0_3.0_1726809102475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|checkpoint2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|zh|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/momowanwu/checkpoint2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-chungliao_mbert_base_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-chungliao_mbert_base_cased_pipeline_en.md
new file mode 100644
index 00000000000000..a5569ea9256fd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-chungliao_mbert_base_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English chungliao_mbert_base_cased_pipeline pipeline BertEmbeddings from N1ch0
+author: John Snow Labs
+name: chungliao_mbert_base_cased_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chungliao_mbert_base_cased_pipeline` is a English model originally trained by N1ch0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chungliao_mbert_base_cased_pipeline_en_5.5.0_3.0_1726806231219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chungliao_mbert_base_cased_pipeline_en_5.5.0_3.0_1726806231219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("chungliao_mbert_base_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("chungliao_mbert_base_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chungliao_mbert_base_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/N1ch0/chungliao-mbert-base-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-classifying_courses_at_scale_six_digit_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-20-classifying_courses_at_scale_six_digit_roberta_base_en.md
new file mode 100644
index 00000000000000..5540461f3e5612
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-classifying_courses_at_scale_six_digit_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English classifying_courses_at_scale_six_digit_roberta_base RoBertaForSequenceClassification from annamp
+author: John Snow Labs
+name: classifying_courses_at_scale_six_digit_roberta_base
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classifying_courses_at_scale_six_digit_roberta_base` is a English model originally trained by annamp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classifying_courses_at_scale_six_digit_roberta_base_en_5.5.0_3.0_1726798284245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classifying_courses_at_scale_six_digit_roberta_base_en_5.5.0_3.0_1726798284245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classifying_courses_at_scale_six_digit_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|443.4 MB|
+
+## References
+
+https://huggingface.co/annamp/classifying-courses-at-scale-six-digit-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-classifying_courses_at_scale_six_digit_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-classifying_courses_at_scale_six_digit_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..80e58cbccf1f90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-classifying_courses_at_scale_six_digit_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English classifying_courses_at_scale_six_digit_roberta_base_pipeline pipeline RoBertaForSequenceClassification from annamp
+author: John Snow Labs
+name: classifying_courses_at_scale_six_digit_roberta_base_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classifying_courses_at_scale_six_digit_roberta_base_pipeline` is a English model originally trained by annamp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classifying_courses_at_scale_six_digit_roberta_base_pipeline_en_5.5.0_3.0_1726798315425.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classifying_courses_at_scale_six_digit_roberta_base_pipeline_en_5.5.0_3.0_1726798315425.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("classifying_courses_at_scale_six_digit_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("classifying_courses_at_scale_six_digit_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classifying_courses_at_scale_six_digit_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|443.4 MB|
+
+## References
+
+https://huggingface.co/annamp/classifying-courses-at-scale-six-digit-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-coha1810to1850_en.md b/docs/_posts/ahmedlone127/2024-09-20-coha1810to1850_en.md
new file mode 100644
index 00000000000000..7d29cd97800e31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-coha1810to1850_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English coha1810to1850 RoBertaEmbeddings from simonmun
+author: John Snow Labs
+name: coha1810to1850
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`coha1810to1850` is a English model originally trained by simonmun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coha1810to1850_en_5.5.0_3.0_1726796611096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coha1810to1850_en_5.5.0_3.0_1726796611096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coha1900s|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|311.6 MB|
+
+## References
+
+https://huggingface.co/simonmun/COHA1900s
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-coha1900s_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-coha1900s_pipeline_en.md
new file mode 100644
index 00000000000000..3dbcf9226f1cce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-coha1900s_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English coha1900s_pipeline pipeline RoBertaEmbeddings from simonmun
+author: John Snow Labs
+name: coha1900s_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`coha1900s_pipeline` is a English model originally trained by simonmun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coha1900s_pipeline_en_5.5.0_3.0_1726793592427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coha1900s_pipeline_en_5.5.0_3.0_1726793592427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("coha1900s_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("coha1900s_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coha1900s_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|311.6 MB|
+
+## References
+
+https://huggingface.co/simonmun/COHA1900s
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-colombian_sign_language_small_unbiased_random_20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-colombian_sign_language_small_unbiased_random_20_pipeline_en.md
new file mode 100644
index 00000000000000..451f1e3a3f1a20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-colombian_sign_language_small_unbiased_random_20_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English colombian_sign_language_small_unbiased_random_20_pipeline pipeline RoBertaEmbeddings from antolin
+author: John Snow Labs
+name: colombian_sign_language_small_unbiased_random_20_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`colombian_sign_language_small_unbiased_random_20_pipeline` is a English model originally trained by antolin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/colombian_sign_language_small_unbiased_random_20_pipeline_en_5.5.0_3.0_1726816031007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/colombian_sign_language_small_unbiased_random_20_pipeline_en_5.5.0_3.0_1726816031007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("colombian_sign_language_small_unbiased_random_20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("colombian_sign_language_small_unbiased_random_20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|colombian_sign_language_small_unbiased_random_20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|470.6 MB|
+
+## References
+
+https://huggingface.co/antolin/csn-small-unbiased-random-20
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-convbert_base_generator_finnish_fi.md b/docs/_posts/ahmedlone127/2024-09-20-convbert_base_generator_finnish_fi.md
new file mode 100644
index 00000000000000..b32d5506e777d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-convbert_base_generator_finnish_fi.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Finnish convbert_base_generator_finnish BertEmbeddings from Finnish-NLP
+author: John Snow Labs
+name: convbert_base_generator_finnish
+date: 2024-09-20
+tags: [fi, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: fi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`convbert_base_generator_finnish` is a Finnish model originally trained by Finnish-NLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/convbert_base_generator_finnish_fi_5.5.0_3.0_1726806370801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/convbert_base_generator_finnish_fi_5.5.0_3.0_1726806370801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|convbert_base_generator_finnish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|fi|
+|Size:|181.3 MB|
+
+## References
+
+https://huggingface.co/Finnish-NLP/convbert-base-generator-finnish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-db_mc_2_0_1_en.md b/docs/_posts/ahmedlone127/2024-09-20-db_mc_2_0_1_en.md
new file mode 100644
index 00000000000000..e5c930778f42c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-db_mc_2_0_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English db_mc_2_0_1 DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_mc_2_0_1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_mc_2_0_1` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_mc_2_0_1_en_5.5.0_3.0_1726792129330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_mc_2_0_1_en_5.5.0_3.0_1726792129330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_mc_2_0_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/exala/db_mc_2.0.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-dfm_ed3_en.md b/docs/_posts/ahmedlone127/2024-09-20-dfm_ed3_en.md
new file mode 100644
index 00000000000000..985fbbe9f1c4d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-dfm_ed3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dfm_ed3 BertForSequenceClassification from yemen2016
+author: John Snow Labs
+name: dfm_ed3
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dfm_ed3` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dfm_ed3_en_5.5.0_3.0_1726795274021.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dfm_ed3_en_5.5.0_3.0_1726795274021.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dfm_ed3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/yemen2016/dfm_ED3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-dfm_ed3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-dfm_ed3_pipeline_en.md
new file mode 100644
index 00000000000000..06598e390dff7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-dfm_ed3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dfm_ed3_pipeline pipeline BertForSequenceClassification from yemen2016
+author: John Snow Labs
+name: dfm_ed3_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dfm_ed3_pipeline` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dfm_ed3_pipeline_en_5.5.0_3.0_1726795335630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dfm_ed3_pipeline_en_5.5.0_3.0_1726795335630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dfm_ed3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dfm_ed3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dfm_ed3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/yemen2016/dfm_ED3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_mealduct_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_mealduct_pipeline_en.md
new file mode 100644
index 00000000000000..eb96a0bac97cf1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_mealduct_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_mealduct_pipeline pipeline DistilBertForSequenceClassification from MealDuct
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_mealduct_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_mealduct_pipeline` is a English model originally trained by MealDuct.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_mealduct_pipeline_en_5.5.0_3.0_1726792296383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_mealduct_pipeline_en_5.5.0_3.0_1726792296383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_mealduct_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_mealduct_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_mealduct_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/MealDuct/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_matthewchung74_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_matthewchung74_en.md
new file mode 100644
index 00000000000000..b27bc1f51c59b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_matthewchung74_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_matthewchung74 DistilBertForSequenceClassification from matthewchung74
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_matthewchung74
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_matthewchung74` is a English model originally trained by matthewchung74.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_matthewchung74_en_5.5.0_3.0_1726809296210.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_matthewchung74_en_5.5.0_3.0_1726809296210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_matthewchung74|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/matthewchung74/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_matthewchung74_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_matthewchung74_pipeline_en.md
new file mode 100644
index 00000000000000..c384933fd05c4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_matthewchung74_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_matthewchung74_pipeline pipeline DistilBertForSequenceClassification from matthewchung74
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_matthewchung74_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_matthewchung74_pipeline` is a English model originally trained by matthewchung74.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_matthewchung74_pipeline_en_5.5.0_3.0_1726809307876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_matthewchung74_pipeline_en_5.5.0_3.0_1726809307876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_matthewchung74_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_matthewchung74_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_matthewchung74_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/matthewchung74/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_rubensmau_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_rubensmau_en.md
new file mode 100644
index 00000000000000..4b53301abfd13b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_rubensmau_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_rubensmau DistilBertForSequenceClassification from rubensmau
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_rubensmau
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_rubensmau` is a English model originally trained by rubensmau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rubensmau_en_5.5.0_3.0_1726809765048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rubensmau_en_5.5.0_3.0_1726809765048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_rubensmau|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rubensmau/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_shivamklr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_shivamklr_pipeline_en.md
new file mode 100644
index 00000000000000..5a42ed39c17699
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_shivamklr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_shivamklr_pipeline pipeline DistilBertForSequenceClassification from shivamklr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_shivamklr_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_shivamklr_pipeline` is a English model originally trained by shivamklr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_shivamklr_pipeline_en_5.5.0_3.0_1726792605619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_shivamklr_pipeline_en_5.5.0_3.0_1726792605619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_shivamklr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_shivamklr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_shivamklr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/shivamklr/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_btown2_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_btown2_en.md
new file mode 100644
index 00000000000000..204370dc4fa0c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_btown2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_btown2 DistilBertForSequenceClassification from btown2
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_btown2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_btown2` is a English model originally trained by btown2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_btown2_en_5.5.0_3.0_1726809399295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_btown2_en_5.5.0_3.0_1726809399295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_btown2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/btown2/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_farzanmrz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_farzanmrz_pipeline_en.md
new file mode 100644
index 00000000000000..3d0b05355d826f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_farzanmrz_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_farzanmrz_pipeline pipeline DistilBertForSequenceClassification from farzanmrz
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_farzanmrz_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_farzanmrz_pipeline` is a English model originally trained by farzanmrz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_farzanmrz_pipeline_en_5.5.0_3.0_1726792001640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_farzanmrz_pipeline_en_5.5.0_3.0_1726792001640.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_farzanmrz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_farzanmrz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_farzanmrz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/farzanmrz/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_minsu_chae_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_minsu_chae_en.md
new file mode 100644
index 00000000000000..498e00f840c967
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_minsu_chae_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_minsu_chae DistilBertForSequenceClassification from Minsu-Chae
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_minsu_chae
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_minsu_chae` is a English model originally trained by Minsu-Chae.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_minsu_chae_en_5.5.0_3.0_1726809335409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_minsu_chae_en_5.5.0_3.0_1726809335409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_minsu_chae|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Minsu-Chae/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nieche2_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nieche2_en.md
new file mode 100644
index 00000000000000..e2bea45013d50a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nieche2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_nieche2 DistilBertForSequenceClassification from nieche2
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_nieche2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nieche2` is a English model originally trained by nieche2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nieche2_en_5.5.0_3.0_1726808984704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nieche2_en_5.5.0_3.0_1726808984704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_nieche2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nieche2/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nieche2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nieche2_pipeline_en.md
new file mode 100644
index 00000000000000..04b0da78a3fd7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nieche2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_nieche2_pipeline pipeline DistilBertForSequenceClassification from nieche2
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_nieche2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nieche2_pipeline` is a English model originally trained by nieche2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nieche2_pipeline_en_5.5.0_3.0_1726809000109.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nieche2_pipeline_en_5.5.0_3.0_1726809000109.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_nieche2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_nieche2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_nieche2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nieche2/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_imdb_h40vv3n_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_imdb_h40vv3n_pipeline_en.md
new file mode 100644
index 00000000000000..f0006680fa5b87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_imdb_h40vv3n_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_h40vv3n_pipeline pipeline DistilBertEmbeddings from h40vv3n
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_h40vv3n_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_h40vv3n_pipeline` is a English model originally trained by h40vv3n.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_h40vv3n_pipeline_en_5.5.0_3.0_1726818131016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_h40vv3n_pipeline_en_5.5.0_3.0_1726818131016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_h40vv3n_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_h40vv3n_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_h40vv3n_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/h40vv3n/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_en.md
new file mode 100644
index 00000000000000..597415e2166bed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification DistilBertForSequenceClassification from wlkobe
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification` is a English model originally trained by wlkobe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_en_5.5.0_3.0_1726809520012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_en_5.5.0_3.0_1726809520012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.2 MB|
+
+## References
+
+https://huggingface.co/wlkobe/distilbert-base-uncased-finetuned-sst-2-english-finetuned-abstract_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_pipeline_en.md
new file mode 100644
index 00000000000000..6d5137d534b0f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_pipeline pipeline DistilBertForSequenceClassification from wlkobe
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_pipeline` is a English model originally trained by wlkobe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_pipeline_en_5.5.0_3.0_1726809531455.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_pipeline_en_5.5.0_3.0_1726809531455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst_2_english_finetuned_abstract_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|250.2 MB|
+
+## References
+
+https://huggingface.co/wlkobe/distilbert-base-uncased-finetuned-sst-2-english-finetuned-abstract_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en.md
new file mode 100644
index 00000000000000..bc9b8b439e26d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en_5.5.0_3.0_1726791875905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en_5.5.0_3.0_1726791875905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st13sd_ut72ut1_PLPrefix0stlarge_simsp300_clean100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_en.md
new file mode 100644
index 00000000000000..41ac98be8e8e0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_en_5.5.0_3.0_1726808983993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_en_5.5.0_3.0_1726808983993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st14sd_ut72ut1large14PfxNf_simsp400_clean100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_en.md
new file mode 100644
index 00000000000000..59f204e41b8558
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_en_5.5.0_3.0_1726809340562.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_en_5.5.0_3.0_1726809340562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_odm_zphr_0st102sd_random_ut72ut1_PLPrefix0stlarge_simsp100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_data_aug_rte_96_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_data_aug_rte_96_pipeline_en.md
new file mode 100644
index 00000000000000..88731187580aad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_data_aug_rte_96_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_data_aug_rte_96_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_data_aug_rte_96_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_data_aug_rte_96_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_rte_96_pipeline_en_5.5.0_3.0_1726791915573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_rte_96_pipeline_en_5.5.0_3.0_1726791915573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_data_aug_rte_96_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_data_aug_rte_96_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_data_aug_rte_96_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_data_aug_rte_96
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_stackoverflow_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_stackoverflow_en.md
new file mode 100644
index 00000000000000..91391399d6bd3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_stackoverflow_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_stackoverflow DistilBertForSequenceClassification from liambyrne
+author: John Snow Labs
+name: distilbert_stackoverflow
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_stackoverflow` is a English model originally trained by liambyrne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_stackoverflow_en_5.5.0_3.0_1726809477590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_stackoverflow_en_5.5.0_3.0_1726809477590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_stackoverflow|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/liambyrne/distilbert-stackoverflow
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilroberta_base_ep20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilroberta_base_ep20_pipeline_en.md
new file mode 100644
index 00000000000000..834425d878a966
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilroberta_base_ep20_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_ep20_pipeline pipeline RoBertaEmbeddings from judy93536
+author: John Snow Labs
+name: distilroberta_base_ep20_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_ep20_pipeline` is a English model originally trained by judy93536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_ep20_pipeline_en_5.5.0_3.0_1726816263746.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_ep20_pipeline_en_5.5.0_3.0_1726816263746.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_ep20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_ep20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_ep20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.4 MB|
+
+## References
+
+https://huggingface.co/judy93536/distilroberta-base-ep20
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-dragon_roberta_large_domain_specific_en.md b/docs/_posts/ahmedlone127/2024-09-20-dragon_roberta_large_domain_specific_en.md
new file mode 100644
index 00000000000000..1ef049da868b3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-dragon_roberta_large_domain_specific_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dragon_roberta_large_domain_specific RoBertaEmbeddings from joeranbosma
+author: John Snow Labs
+name: dragon_roberta_large_domain_specific
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dragon_roberta_large_domain_specific` is a English model originally trained by joeranbosma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dragon_roberta_large_domain_specific_en_5.5.0_3.0_1726796822563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dragon_roberta_large_domain_specific_en_5.5.0_3.0_1726796822563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dragon_roberta_large_domain_specific|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/joeranbosma/dragon-roberta-large-domain-specific
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-dragon_roberta_large_domain_specific_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-dragon_roberta_large_domain_specific_pipeline_en.md
new file mode 100644
index 00000000000000..2249271c8f1f5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-dragon_roberta_large_domain_specific_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dragon_roberta_large_domain_specific_pipeline pipeline RoBertaEmbeddings from joeranbosma
+author: John Snow Labs
+name: dragon_roberta_large_domain_specific_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dragon_roberta_large_domain_specific_pipeline` is a English model originally trained by joeranbosma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dragon_roberta_large_domain_specific_pipeline_en_5.5.0_3.0_1726796881900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dragon_roberta_large_domain_specific_pipeline_en_5.5.0_3.0_1726796881900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dragon_roberta_large_domain_specific_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dragon_roberta_large_domain_specific_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dragon_roberta_large_domain_specific_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/joeranbosma/dragon-roberta-large-domain-specific
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_en.md b/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_en.md
new file mode 100644
index 00000000000000..547ad43583341a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_en_5.5.0_3.0_1726805331832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_en_5.5.0_3.0_1726805331832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ep16|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|4.8 GB|
+
+## References
+
+https://huggingface.co/JoeTan/Ep16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-final_nlp_question1_en.md b/docs/_posts/ahmedlone127/2024-09-20-final_nlp_question1_en.md
new file mode 100644
index 00000000000000..98b1780e4fef9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-final_nlp_question1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English final_nlp_question1 DistilBertForSequenceClassification from chamdentimem
+author: John Snow Labs
+name: final_nlp_question1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`final_nlp_question1` is a English model originally trained by chamdentimem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_nlp_question1_en_5.5.0_3.0_1726792268779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_nlp_question1_en_5.5.0_3.0_1726792268779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|final_nlp_question1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chamdentimem/final_nlp_question1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuned_beliefs_sentiment_classifier_experiment2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuned_beliefs_sentiment_classifier_experiment2_pipeline_en.md
new file mode 100644
index 00000000000000..912daa7ee24b1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuned_beliefs_sentiment_classifier_experiment2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_beliefs_sentiment_classifier_experiment2_pipeline pipeline RoBertaForSequenceClassification from hriaz
+author: John Snow Labs
+name: finetuned_beliefs_sentiment_classifier_experiment2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_beliefs_sentiment_classifier_experiment2_pipeline` is a English model originally trained by hriaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_beliefs_sentiment_classifier_experiment2_pipeline_en_5.5.0_3.0_1726805055615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_beliefs_sentiment_classifier_experiment2_pipeline_en_5.5.0_3.0_1726805055615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_beliefs_sentiment_classifier_experiment2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_beliefs_sentiment_classifier_experiment2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_beliefs_sentiment_classifier_experiment2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/hriaz/finetuned_beliefs_sentiment_classifier_experiment2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuned_fake_news_bert_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuned_fake_news_bert_en.md
new file mode 100644
index 00000000000000..74dbc02a2adb5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuned_fake_news_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_fake_news_bert RoBertaForSequenceClassification from Johnson-Olakanmi
+author: John Snow Labs
+name: finetuned_fake_news_bert
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_fake_news_bert` is a English model originally trained by Johnson-Olakanmi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_fake_news_bert_en_5.5.0_3.0_1726798524207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_fake_news_bert_en_5.5.0_3.0_1726798524207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_fake_news_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.0 MB|
+
+## References
+
+https://huggingface.co/Johnson-Olakanmi/finetuned_fake_news_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuned_fake_news_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuned_fake_news_bert_pipeline_en.md
new file mode 100644
index 00000000000000..7f4446a9ca83c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuned_fake_news_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_fake_news_bert_pipeline pipeline RoBertaForSequenceClassification from Johnson-Olakanmi
+author: John Snow Labs
+name: finetuned_fake_news_bert_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_fake_news_bert_pipeline` is a English model originally trained by Johnson-Olakanmi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_fake_news_bert_pipeline_en_5.5.0_3.0_1726798556569.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_fake_news_bert_pipeline_en_5.5.0_3.0_1726798556569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_fake_news_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_fake_news_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_fake_news_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|437.0 MB|
+
+## References
+
+https://huggingface.co/Johnson-Olakanmi/finetuned_fake_news_bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_naomaru_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_naomaru_en.md
new file mode 100644
index 00000000000000..521073e2fa7188
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_naomaru_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_naomaru DistilBertForSequenceClassification from naomaru
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_naomaru
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_naomaru` is a English model originally trained by naomaru.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_naomaru_en_5.5.0_3.0_1726809254666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_naomaru_en_5.5.0_3.0_1726809254666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_naomaru|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/naomaru/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_roberta_base_model_10000_samples_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_roberta_base_model_10000_samples_en.md
new file mode 100644
index 00000000000000..6f4223a03ebf8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_roberta_base_model_10000_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_roberta_base_model_10000_samples RoBertaForSequenceClassification from pryshlyak
+author: John Snow Labs
+name: finetuning_sentiment_roberta_base_model_10000_samples
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_roberta_base_model_10000_samples` is a English model originally trained by pryshlyak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_roberta_base_model_10000_samples_en_5.5.0_3.0_1726799046189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_roberta_base_model_10000_samples_en_5.5.0_3.0_1726799046189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_roberta_base_model_10000_samples|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|459.9 MB|
+
+## References
+
+https://huggingface.co/pryshlyak/finetuning-sentiment-roberta-base-model-10000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-flattery_prediction_text_en.md b/docs/_posts/ahmedlone127/2024-09-20-flattery_prediction_text_en.md
new file mode 100644
index 00000000000000..376eedef1217c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-flattery_prediction_text_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English flattery_prediction_text RoBertaForSequenceClassification from chrlukas
+author: John Snow Labs
+name: flattery_prediction_text
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`flattery_prediction_text` is a English model originally trained by chrlukas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/flattery_prediction_text_en_5.5.0_3.0_1726798525359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/flattery_prediction_text_en_5.5.0_3.0_1726798525359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|flattery_prediction_text|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|426.5 MB|
+
+## References
+
+https://huggingface.co/chrlukas/flattery_prediction_text
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-flattery_prediction_text_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-flattery_prediction_text_pipeline_en.md
new file mode 100644
index 00000000000000..14ede38e668006
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-flattery_prediction_text_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English flattery_prediction_text_pipeline pipeline RoBertaForSequenceClassification from chrlukas
+author: John Snow Labs
+name: flattery_prediction_text_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`flattery_prediction_text_pipeline` is a English model originally trained by chrlukas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/flattery_prediction_text_pipeline_en_5.5.0_3.0_1726798563241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/flattery_prediction_text_pipeline_en_5.5.0_3.0_1726798563241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("flattery_prediction_text_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("flattery_prediction_text_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|flattery_prediction_text_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|426.5 MB|
+
+## References
+
+https://huggingface.co/chrlukas/flattery_prediction_text
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ft_distilroberta_base_with_askscience_en.md b/docs/_posts/ahmedlone127/2024-09-20-ft_distilroberta_base_with_askscience_en.md
new file mode 100644
index 00000000000000..83566d90968596
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ft_distilroberta_base_with_askscience_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ft_distilroberta_base_with_askscience RoBertaEmbeddings from aisuko
+author: John Snow Labs
+name: ft_distilroberta_base_with_askscience
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ft_distilroberta_base_with_askscience` is a English model originally trained by aisuko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ft_distilroberta_base_with_askscience_en_5.5.0_3.0_1726796305160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ft_distilroberta_base_with_askscience_en_5.5.0_3.0_1726796305160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ft_distilroberta_base_with_askscience|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/aisuko/ft-distilroberta-base-with-askscience
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-geofin2_en.md b/docs/_posts/ahmedlone127/2024-09-20-geofin2_en.md
new file mode 100644
index 00000000000000..4d86978ba404a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-geofin2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English geofin2 RoBertaForSequenceClassification from luukschmitz
+author: John Snow Labs
+name: geofin2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`geofin2` is a English model originally trained by luukschmitz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/geofin2_en_5.5.0_3.0_1726805379453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/geofin2_en_5.5.0_3.0_1726805379453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|geofin2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/luukschmitz/Geofin2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-geofin2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-geofin2_pipeline_en.md
new file mode 100644
index 00000000000000..08a2a074e7eea2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-geofin2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English geofin2_pipeline pipeline RoBertaForSequenceClassification from luukschmitz
+author: John Snow Labs
+name: geofin2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`geofin2_pipeline` is a English model originally trained by luukschmitz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/geofin2_pipeline_en_5.5.0_3.0_1726805393792.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/geofin2_pipeline_en_5.5.0_3.0_1726805393792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("geofin2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("geofin2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|geofin2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.9 MB|
+
+## References
+
+https://huggingface.co/luukschmitz/Geofin2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-governancev1_en.md b/docs/_posts/ahmedlone127/2024-09-20-governancev1_en.md
new file mode 100644
index 00000000000000..a515b0b70ddcee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-governancev1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English governancev1 RoBertaForSequenceClassification from lomov
+author: John Snow Labs
+name: governancev1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`governancev1` is a English model originally trained by lomov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/governancev1_en_5.5.0_3.0_1726805011901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/governancev1_en_5.5.0_3.0_1726805011901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|governancev1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/lomov/governancev1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-governancev1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-governancev1_pipeline_en.md
new file mode 100644
index 00000000000000..3078b66bb2902b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-governancev1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English governancev1_pipeline pipeline RoBertaForSequenceClassification from lomov
+author: John Snow Labs
+name: governancev1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`governancev1_pipeline` is a English model originally trained by lomov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/governancev1_pipeline_en_5.5.0_3.0_1726805026279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/governancev1_pipeline_en_5.5.0_3.0_1726805026279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("governancev1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("governancev1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|governancev1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.7 MB|
+
+## References
+
+https://huggingface.co/lomov/governancev1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ground_english_roberta_large_en.md b/docs/_posts/ahmedlone127/2024-09-20-ground_english_roberta_large_en.md
new file mode 100644
index 00000000000000..00a629cda0936a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ground_english_roberta_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ground_english_roberta_large RoBertaEmbeddings from dreamerdeo
+author: John Snow Labs
+name: ground_english_roberta_large
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ground_english_roberta_large` is a English model originally trained by dreamerdeo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ground_english_roberta_large_en_5.5.0_3.0_1726794072606.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ground_english_roberta_large_en_5.5.0_3.0_1726794072606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ground_english_roberta_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/dreamerdeo/ground-en-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ground_english_roberta_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-ground_english_roberta_large_pipeline_en.md
new file mode 100644
index 00000000000000..15f259da379997
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ground_english_roberta_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ground_english_roberta_large_pipeline pipeline RoBertaEmbeddings from dreamerdeo
+author: John Snow Labs
+name: ground_english_roberta_large_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ground_english_roberta_large_pipeline` is a English model originally trained by dreamerdeo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ground_english_roberta_large_pipeline_en_5.5.0_3.0_1726794133432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ground_english_roberta_large_pipeline_en_5.5.0_3.0_1726794133432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ground_english_roberta_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ground_english_roberta_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ground_english_roberta_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/dreamerdeo/ground-en-roberta-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-hate_hate_random3_seed1_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-20-hate_hate_random3_seed1_roberta_base_en.md
new file mode 100644
index 00000000000000..2883104eadaec4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-hate_hate_random3_seed1_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_random3_seed1_roberta_base RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random3_seed1_roberta_base
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random3_seed1_roberta_base` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random3_seed1_roberta_base_en_5.5.0_3.0_1726804428712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random3_seed1_roberta_base_en_5.5.0_3.0_1726804428712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hf_qa_bert_base_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/rinogrego/HF-QA-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-icebert_igc_pipeline_is.md b/docs/_posts/ahmedlone127/2024-09-20-icebert_igc_pipeline_is.md
new file mode 100644
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@@ -0,0 +1,70 @@
+---
+layout: model
+title: Icelandic icebert_igc_pipeline pipeline RoBertaEmbeddings from mideind
+author: John Snow Labs
+name: icebert_igc_pipeline
+date: 2024-09-20
+tags: [is, open_source, pipeline, onnx]
+task: Embeddings
+language: is
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`icebert_igc_pipeline` is a Icelandic model originally trained by mideind.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/icebert_igc_pipeline_is_5.5.0_3.0_1726816544730.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/icebert_igc_pipeline_is_5.5.0_3.0_1726816544730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("icebert_igc_pipeline", lang = "is")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("icebert_igc_pipeline", lang = "is")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|icebert_igc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|is|
+|Size:|295.9 MB|
+
+## References
+
+https://huggingface.co/mideind/IceBERT-igc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-inflabert_en.md b/docs/_posts/ahmedlone127/2024-09-20-inflabert_en.md
new file mode 100644
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--- /dev/null
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+---
+layout: model
+title: English inflabert RoBertaForSequenceClassification from MAPAi
+author: John Snow Labs
+name: inflabert
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`inflabert` is a English model originally trained by MAPAi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inflabert_en_5.5.0_3.0_1726798646355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inflabert_en_5.5.0_3.0_1726798646355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inflabert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/MAPAi/InflaBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-inflabert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-inflabert_pipeline_en.md
new file mode 100644
index 00000000000000..7b0f4da425b36c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-inflabert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English inflabert_pipeline pipeline RoBertaForSequenceClassification from MAPAi
+author: John Snow Labs
+name: inflabert_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`inflabert_pipeline` is a English model originally trained by MAPAi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inflabert_pipeline_en_5.5.0_3.0_1726798660280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inflabert_pipeline_en_5.5.0_3.0_1726798660280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("inflabert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("inflabert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inflabert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/MAPAi/InflaBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-kt_trainlabeltest_class_en.md b/docs/_posts/ahmedlone127/2024-09-20-kt_trainlabeltest_class_en.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-kt_trainlabeltest_class_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English kt_trainlabeltest_class RoBertaForSequenceClassification from kelvinleong
+author: John Snow Labs
+name: kt_trainlabeltest_class
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kt_trainlabeltest_class` is a English model originally trained by kelvinleong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kt_trainlabeltest_class_en_5.5.0_3.0_1726805518330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kt_trainlabeltest_class_en_5.5.0_3.0_1726805518330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kt_trainlabeltest_class|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|423.6 MB|
+
+## References
+
+https://huggingface.co/kelvinleong/KT_TrainlabelTest_Class
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-kt_trainlabeltest_class_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-kt_trainlabeltest_class_pipeline_en.md
new file mode 100644
index 00000000000000..97c4cea098efb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-kt_trainlabeltest_class_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English kt_trainlabeltest_class_pipeline pipeline RoBertaForSequenceClassification from kelvinleong
+author: John Snow Labs
+name: kt_trainlabeltest_class_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kt_trainlabeltest_class_pipeline` is a English model originally trained by kelvinleong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kt_trainlabeltest_class_pipeline_en_5.5.0_3.0_1726805549521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kt_trainlabeltest_class_pipeline_en_5.5.0_3.0_1726805549521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("kt_trainlabeltest_class_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("kt_trainlabeltest_class_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kt_trainlabeltest_class_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|423.6 MB|
+
+## References
+
+https://huggingface.co/kelvinleong/KT_TrainlabelTest_Class
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-legal_undedup_base_v1_5__checkpoint_2_50000_en.md b/docs/_posts/ahmedlone127/2024-09-20-legal_undedup_base_v1_5__checkpoint_2_50000_en.md
new file mode 100644
index 00000000000000..243e3a98f20727
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-legal_undedup_base_v1_5__checkpoint_2_50000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English legal_undedup_base_v1_5__checkpoint_2_50000 RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: legal_undedup_base_v1_5__checkpoint_2_50000
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_undedup_base_v1_5__checkpoint_2_50000` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_undedup_base_v1_5__checkpoint_2_50000_en_5.5.0_3.0_1726815763611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_undedup_base_v1_5__checkpoint_2_50000_en_5.5.0_3.0_1726815763611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_undedup_base_v1_5__checkpoint_2_50000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|296.4 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/legal_undedup_base_v1_5__checkpoint_2_50000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-legal_undedup_base_v1_5__checkpoint_2_50000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-legal_undedup_base_v1_5__checkpoint_2_50000_pipeline_en.md
new file mode 100644
index 00000000000000..b7c2cf8ba6dca9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-legal_undedup_base_v1_5__checkpoint_2_50000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English legal_undedup_base_v1_5__checkpoint_2_50000_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: legal_undedup_base_v1_5__checkpoint_2_50000_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_undedup_base_v1_5__checkpoint_2_50000_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_undedup_base_v1_5__checkpoint_2_50000_pipeline_en_5.5.0_3.0_1726815853037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_undedup_base_v1_5__checkpoint_2_50000_pipeline_en_5.5.0_3.0_1726815853037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("legal_undedup_base_v1_5__checkpoint_2_50000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("legal_undedup_base_v1_5__checkpoint_2_50000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_undedup_base_v1_5__checkpoint_2_50000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|296.4 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/legal_undedup_base_v1_5__checkpoint_2_50000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-llm_b_hw001_en.md b/docs/_posts/ahmedlone127/2024-09-20-llm_b_hw001_en.md
new file mode 100644
index 00000000000000..775d9a93b8028b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-llm_b_hw001_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English llm_b_hw001 DistilBertForSequenceClassification from Chungyeh
+author: John Snow Labs
+name: llm_b_hw001
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`llm_b_hw001` is a English model originally trained by Chungyeh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/llm_b_hw001_en_5.5.0_3.0_1726809103436.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/llm_b_hw001_en_5.5.0_3.0_1726809103436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilm_l6_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|73.1 MB|
+
+## References
+
+https://huggingface.co/saifalnajjar/MiniLM-L6-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-minilm_l6_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-minilm_l6_v2_pipeline_en.md
new file mode 100644
index 00000000000000..a3bcfa4bbb0107
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-minilm_l6_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English minilm_l6_v2_pipeline pipeline RoBertaEmbeddings from saifalnajjar
+author: John Snow Labs
+name: minilm_l6_v2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`minilm_l6_v2_pipeline` is a English model originally trained by saifalnajjar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilm_l6_v2_pipeline_en_5.5.0_3.0_1726815986801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilm_l6_v2_pipeline_en_5.5.0_3.0_1726815986801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("minilm_l6_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("minilm_l6_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilm_l6_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|73.1 MB|
+
+## References
+
+https://huggingface.co/saifalnajjar/MiniLM-L6-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-mlm_pretrain_model_en.md b/docs/_posts/ahmedlone127/2024-09-20-mlm_pretrain_model_en.md
new file mode 100644
index 00000000000000..efa99fce395fe6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-mlm_pretrain_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mlm_pretrain_model RoBertaEmbeddings from pavi156
+author: John Snow Labs
+name: mlm_pretrain_model
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mlm_pretrain_model` is a English model originally trained by pavi156.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_pretrain_model_en_5.5.0_3.0_1726816142143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_pretrain_model_en_5.5.0_3.0_1726816142143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelo_entrenado_02|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.4 MB|
+
+## References
+
+https://huggingface.co/germanchura/modelo_entrenado_02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-modelo_entrenado_02_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-modelo_entrenado_02_pipeline_en.md
new file mode 100644
index 00000000000000..6fea670b84a2a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-modelo_entrenado_02_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English modelo_entrenado_02_pipeline pipeline RoBertaEmbeddings from germanchura
+author: John Snow Labs
+name: modelo_entrenado_02_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelo_entrenado_02_pipeline` is a English model originally trained by germanchura.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelo_entrenado_02_pipeline_en_5.5.0_3.0_1726796529950.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelo_entrenado_02_pipeline_en_5.5.0_3.0_1726796529950.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("modelo_entrenado_02_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("modelo_entrenado_02_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelo_entrenado_02_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.4 MB|
+
+## References
+
+https://huggingface.co/germanchura/modelo_entrenado_02
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-models_melisa_en.md b/docs/_posts/ahmedlone127/2024-09-20-models_melisa_en.md
new file mode 100644
index 00000000000000..b7b952bd655221
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-models_melisa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English models_melisa RoBertaForSequenceClassification from melisa
+author: John Snow Labs
+name: models_melisa
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`models_melisa` is a English model originally trained by melisa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/models_melisa_en_5.5.0_3.0_1726798382379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/models_melisa_en_5.5.0_3.0_1726798382379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|models_melisa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.3 MB|
+
+## References
+
+https://huggingface.co/melisa/models
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-models_melisa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-models_melisa_pipeline_en.md
new file mode 100644
index 00000000000000..8b91d77a72c514
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-models_melisa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English models_melisa_pipeline pipeline RoBertaForSequenceClassification from melisa
+author: John Snow Labs
+name: models_melisa_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`models_melisa_pipeline` is a English model originally trained by melisa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/models_melisa_pipeline_en_5.5.0_3.0_1726798410369.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/models_melisa_pipeline_en_5.5.0_3.0_1726798410369.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("models_melisa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("models_melisa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|models_melisa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|447.4 MB|
+
+## References
+
+https://huggingface.co/melisa/models
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-movie_genre_multi_classification_en.md b/docs/_posts/ahmedlone127/2024-09-20-movie_genre_multi_classification_en.md
new file mode 100644
index 00000000000000..41622a1eb5000c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-movie_genre_multi_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English movie_genre_multi_classification DistilBertForSequenceClassification from handler-bird
+author: John Snow Labs
+name: movie_genre_multi_classification
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movie_genre_multi_classification` is a English model originally trained by handler-bird.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_genre_multi_classification_en_5.5.0_3.0_1726809620900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_genre_multi_classification_en_5.5.0_3.0_1726809620900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_genre_multi_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/handler-bird/movie_genre_multi_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nepal_bhasa_dummy_model_thewitcher_en.md b/docs/_posts/ahmedlone127/2024-09-20-nepal_bhasa_dummy_model_thewitcher_en.md
new file mode 100644
index 00000000000000..8b3fae026bce3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nepal_bhasa_dummy_model_thewitcher_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nepal_bhasa_dummy_model_thewitcher DistilBertForSequenceClassification from theWitcher
+author: John Snow Labs
+name: nepal_bhasa_dummy_model_thewitcher
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nepal_bhasa_dummy_model_thewitcher` is a English model originally trained by theWitcher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_dummy_model_thewitcher_en_5.5.0_3.0_1726809184741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_dummy_model_thewitcher_en_5.5.0_3.0_1726809184741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|469.9 MB|
+
+## References
+
+References
+
+References
+
+https://huggingface.co/soyisauce/output
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-output_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-output_pipeline_en.md
new file mode 100644
index 00000000000000..b13bb8c03f8944
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-output_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English output_pipeline pipeline RoBertaEmbeddings from manishiitg
+author: John Snow Labs
+name: output_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`output_pipeline` is a English model originally trained by manishiitg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_pipeline_en_5.5.0_3.0_1726816113882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_pipeline_en_5.5.0_3.0_1726816113882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("output_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("output_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|469.9 MB|
+
+## References
+
+https://huggingface.co/manishiitg/output
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-political_issue_detection_roberta_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-20-political_issue_detection_roberta_finetuned_en.md
new file mode 100644
index 00000000000000..e35b474a1bf43b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-political_issue_detection_roberta_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English political_issue_detection_roberta_finetuned RoBertaForSequenceClassification from JyotiNayak
+author: John Snow Labs
+name: political_issue_detection_roberta_finetuned
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`political_issue_detection_roberta_finetuned` is a English model originally trained by JyotiNayak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/political_issue_detection_roberta_finetuned_en_5.5.0_3.0_1726798798530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/political_issue_detection_roberta_finetuned_en_5.5.0_3.0_1726798798530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|political_issue_detection_roberta_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|423.2 MB|
+
+## References
+
+https://huggingface.co/JyotiNayak/political_issue_detection_roberta_finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-political_issue_detection_roberta_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-political_issue_detection_roberta_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..eac3aab0cb11d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-political_issue_detection_roberta_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English political_issue_detection_roberta_finetuned_pipeline pipeline RoBertaForSequenceClassification from JyotiNayak
+author: John Snow Labs
+name: political_issue_detection_roberta_finetuned_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`political_issue_detection_roberta_finetuned_pipeline` is a English model originally trained by JyotiNayak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/political_issue_detection_roberta_finetuned_pipeline_en_5.5.0_3.0_1726798836048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/political_issue_detection_roberta_finetuned_pipeline_en_5.5.0_3.0_1726798836048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("political_issue_detection_roberta_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("political_issue_detection_roberta_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|political_issue_detection_roberta_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|423.2 MB|
+
+## References
+
+https://huggingface.co/JyotiNayak/political_issue_detection_roberta_finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-pretrained_mario_bert_448_paths_ctx_en.md b/docs/_posts/ahmedlone127/2024-09-20-pretrained_mario_bert_448_paths_ctx_en.md
new file mode 100644
index 00000000000000..15223f8895a11f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-pretrained_mario_bert_448_paths_ctx_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English pretrained_mario_bert_448_paths_ctx RoBertaEmbeddings from shyamsn97
+author: John Snow Labs
+name: pretrained_mario_bert_448_paths_ctx
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pretrained_mario_bert_448_paths_ctx` is a English model originally trained by shyamsn97.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pretrained_mario_bert_448_paths_ctx_en_5.5.0_3.0_1726796409196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pretrained_mario_bert_448_paths_ctx_en_5.5.0_3.0_1726796409196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pretrained_mario_bert_448_paths_ctx|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/shyamsn97/pretrained-mario-bert-448-paths-ctx
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-promptclassifcation_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-promptclassifcation_pipeline_en.md
new file mode 100644
index 00000000000000..8c5e4edf7c8408
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-promptclassifcation_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English promptclassifcation_pipeline pipeline RoBertaForSequenceClassification from rishika0704
+author: John Snow Labs
+name: promptclassifcation_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`promptclassifcation_pipeline` is a English model originally trained by rishika0704.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/promptclassifcation_pipeline_en_5.5.0_3.0_1726799053589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/promptclassifcation_pipeline_en_5.5.0_3.0_1726799053589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("promptclassifcation_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("promptclassifcation_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|promptclassifcation_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|426.5 MB|
+
+## References
+
+https://huggingface.co/rishika0704/promptClassifcation
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-qatentbert_cpc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-qatentbert_cpc_pipeline_en.md
new file mode 100644
index 00000000000000..53c4bd7e6f808c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-qatentbert_cpc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English qatentbert_cpc_pipeline pipeline BertForSequenceClassification from ZoeYou
+author: John Snow Labs
+name: qatentbert_cpc_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qatentbert_cpc_pipeline` is a English model originally trained by ZoeYou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qatentbert_cpc_pipeline_en_5.5.0_3.0_1726797236658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qatentbert_cpc_pipeline_en_5.5.0_3.0_1726797236658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qatentbert_cpc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qatentbert_cpc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qatentbert_cpc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ZoeYou/qatentBert-cpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-rinna_roberta_qa_ar101_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-rinna_roberta_qa_ar101_pipeline_en.md
new file mode 100644
index 00000000000000..00125d3290d155
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-rinna_roberta_qa_ar101_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English rinna_roberta_qa_ar101_pipeline pipeline BertForQuestionAnswering from Echiguerkh
+author: John Snow Labs
+name: rinna_roberta_qa_ar101_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rinna_roberta_qa_ar101_pipeline` is a English model originally trained by Echiguerkh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rinna_roberta_qa_ar101_pipeline_en_5.5.0_3.0_1726808572849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rinna_roberta_qa_ar101_pipeline_en_5.5.0_3.0_1726808572849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rinna_roberta_qa_ar101_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rinna_roberta_qa_ar101_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rinna_roberta_qa_ar101_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|504.3 MB|
+
+## References
+
+https://huggingface.co/Echiguerkh/rinna-roberta-qa-ar101
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_ag_news_aktsvigun_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_ag_news_aktsvigun_pipeline_en.md
new file mode 100644
index 00000000000000..52efa28722d774
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_ag_news_aktsvigun_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_ag_news_aktsvigun_pipeline pipeline RoBertaForSequenceClassification from Aktsvigun
+author: John Snow Labs
+name: roberta_base_ag_news_aktsvigun_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ag_news_aktsvigun_pipeline` is a English model originally trained by Aktsvigun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news_aktsvigun_pipeline_en_5.5.0_3.0_1726805155494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news_aktsvigun_pipeline_en_5.5.0_3.0_1726805155494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_ag_news_aktsvigun_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_ag_news_aktsvigun_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ag_news_aktsvigun_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/Aktsvigun/roberta-base-ag_news
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bne_finetuned_sentiment_analysis_restmex2023_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bne_finetuned_sentiment_analysis_restmex2023_en.md
new file mode 100644
index 00000000000000..04dba888666a96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bne_finetuned_sentiment_analysis_restmex2023_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_sentiment_analysis_restmex2023 RoBertaForSequenceClassification from vg055
+author: John Snow Labs
+name: roberta_base_bne_finetuned_sentiment_analysis_restmex2023
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_sentiment_analysis_restmex2023` is a English model originally trained by vg055.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_sentiment_analysis_restmex2023_en_5.5.0_3.0_1726804339844.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_sentiment_analysis_restmex2023_en_5.5.0_3.0_1726804339844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_sentiment_analysis_restmex2023|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|454.6 MB|
+
+## References
+
+https://huggingface.co/vg055/roberta-base-bne-finetuned-sentiment_analysis_RestMex2023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bne_finetuned_sentiment_analysis_restmex2023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bne_finetuned_sentiment_analysis_restmex2023_pipeline_en.md
new file mode 100644
index 00000000000000..30680593a23133
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bne_finetuned_sentiment_analysis_restmex2023_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_sentiment_analysis_restmex2023_pipeline pipeline RoBertaForSequenceClassification from vg055
+author: John Snow Labs
+name: roberta_base_bne_finetuned_sentiment_analysis_restmex2023_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_sentiment_analysis_restmex2023_pipeline` is a English model originally trained by vg055.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_sentiment_analysis_restmex2023_pipeline_en_5.5.0_3.0_1726804362288.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_sentiment_analysis_restmex2023_pipeline_en_5.5.0_3.0_1726804362288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_bne_finetuned_sentiment_analysis_restmex2023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_bne_finetuned_sentiment_analysis_restmex2023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_sentiment_analysis_restmex2023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|454.6 MB|
+
+## References
+
+https://huggingface.co/vg055/roberta-base-bne-finetuned-sentiment_analysis_RestMex2023
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_englishlawai_roberta_base_version4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_englishlawai_roberta_base_version4_pipeline_en.md
new file mode 100644
index 00000000000000..13c09e5a2c949c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_englishlawai_roberta_base_version4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_englishlawai_roberta_base_version4_pipeline pipeline RoBertaEmbeddings from Makabaka
+author: John Snow Labs
+name: roberta_base_englishlawai_roberta_base_version4_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_englishlawai_roberta_base_version4_pipeline` is a English model originally trained by Makabaka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_englishlawai_roberta_base_version4_pipeline_en_5.5.0_3.0_1726793536353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_englishlawai_roberta_base_version4_pipeline_en_5.5.0_3.0_1726793536353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_englishlawai_roberta_base_version4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_englishlawai_roberta_base_version4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_englishlawai_roberta_base_version4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.6 MB|
+
+## References
+
+https://huggingface.co/Makabaka/roberta-base-EnglishLawAI_roberta_base_version4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_56_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_56_en.md
new file mode 100644
index 00000000000000..aecf79d6159059
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_56_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_56 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_56
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_56` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_56_en_5.5.0_3.0_1726793700407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_56_en_5.5.0_3.0_1726793700407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_research_papers|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/egumasa/roberta-base-research-papers
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_research_papers_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_research_papers_pipeline_en.md
new file mode 100644
index 00000000000000..2eee948f3e1aef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_research_papers_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_research_papers_pipeline pipeline RoBertaEmbeddings from egumasa
+author: John Snow Labs
+name: roberta_base_research_papers_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_research_papers_pipeline` is a English model originally trained by egumasa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_research_papers_pipeline_en_5.5.0_3.0_1726815717393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_research_papers_pipeline_en_5.5.0_3.0_1726815717393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_research_papers_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_research_papers_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_research_papers_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/egumasa/roberta-base-research-papers
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_bert_10_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_bert_10_en.md
new file mode 100644
index 00000000000000..dc5ac1eb49d478
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_bert_10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_bert_10 RoBertaEmbeddings from ubaskota
+author: John Snow Labs
+name: roberta_bert_10
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_bert_10` is a English model originally trained by ubaskota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_bert_10_en_5.5.0_3.0_1726815847448.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_bert_10_en_5.5.0_3.0_1726815847448.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_bert_10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/ubaskota/roberta_BERT_10_
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_bert_10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_bert_10_pipeline_en.md
new file mode 100644
index 00000000000000..a3bb702ce73419
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_bert_10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_bert_10_pipeline pipeline RoBertaEmbeddings from ubaskota
+author: John Snow Labs
+name: roberta_bert_10_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_bert_10_pipeline` is a English model originally trained by ubaskota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_bert_10_pipeline_en_5.5.0_3.0_1726815870724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_bert_10_pipeline_en_5.5.0_3.0_1726815870724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_bert_10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_bert_10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_bert_10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/ubaskota/roberta_BERT_10_
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_codesearchnet_nepal_bhasa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_codesearchnet_nepal_bhasa_pipeline_en.md
new file mode 100644
index 00000000000000..d51923a6143985
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_codesearchnet_nepal_bhasa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_codesearchnet_nepal_bhasa_pipeline pipeline RoBertaEmbeddings from shradha01
+author: John Snow Labs
+name: roberta_codesearchnet_nepal_bhasa_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_codesearchnet_nepal_bhasa_pipeline` is a English model originally trained by shradha01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_codesearchnet_nepal_bhasa_pipeline_en_5.5.0_3.0_1726816333863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_codesearchnet_nepal_bhasa_pipeline_en_5.5.0_3.0_1726816333863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_codesearchnet_nepal_bhasa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_codesearchnet_nepal_bhasa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_codesearchnet_nepal_bhasa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/shradha01/roberta_codesearchnet_new
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_empai_finetuned_def_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_empai_finetuned_def_pipeline_en.md
new file mode 100644
index 00000000000000..8964613119fe8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_empai_finetuned_def_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_empai_finetuned_def_pipeline pipeline RoBertaEmbeddings from LuangMV97
+author: John Snow Labs
+name: roberta_empai_finetuned_def_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_empai_finetuned_def_pipeline` is a English model originally trained by LuangMV97.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_empai_finetuned_def_pipeline_en_5.5.0_3.0_1726796215061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_empai_finetuned_def_pipeline_en_5.5.0_3.0_1726796215061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_empai_finetuned_def_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_empai_finetuned_def_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_empai_finetuned_def_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/LuangMV97/RoBERTa_EmpAI_FineTuned_def
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_finetuned_subjqa_movies_2_francisca28_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_finetuned_subjqa_movies_2_francisca28_en.md
new file mode 100644
index 00000000000000..7e11e56a6fb6e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_finetuned_subjqa_movies_2_francisca28_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_francisca28 BertForQuestionAnswering from Francisca28
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_francisca28
+date: 2024-09-20
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_francisca28` is a English model originally trained by Francisca28.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_francisca28_en_5.5.0_3.0_1726808730636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_francisca28_en_5.5.0_3.0_1726808730636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_francisca28|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Francisca28/roberta-finetuned-subjqa-movies_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_finetuned_subjqa_movies_2_francisca28_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_finetuned_subjqa_movies_2_francisca28_pipeline_en.md
new file mode 100644
index 00000000000000..2d39edce806989
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_finetuned_subjqa_movies_2_francisca28_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_francisca28_pipeline pipeline BertForQuestionAnswering from Francisca28
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_francisca28_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_francisca28_pipeline` is a English model originally trained by Francisca28.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_francisca28_pipeline_en_5.5.0_3.0_1726808787231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_francisca28_pipeline_en_5.5.0_3.0_1726808787231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_subjqa_movies_2_francisca28_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_movies_2_francisca28_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_francisca28_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Francisca28/roberta-finetuned-subjqa-movies_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_en.md
new file mode 100644
index 00000000000000..8acf0ed77c978d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165 RoBertaEmbeddings from danschr
+author: John Snow Labs
+name: roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165` is a English model originally trained by danschr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_en_5.5.0_3.0_1726794039803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_en_5.5.0_3.0_1726794039803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/danschr/roberta-large-BS_16-EPOCHS_5-LR_5e-05-ACC_GRAD_2-MAX_LENGTH_165
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_pipeline_en.md
new file mode 100644
index 00000000000000..6b245246656b7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_pipeline pipeline RoBertaEmbeddings from danschr
+author: John Snow Labs
+name: roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_pipeline` is a English model originally trained by danschr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_pipeline_en_5.5.0_3.0_1726794100256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_pipeline_en_5.5.0_3.0_1726794100256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_bosnian_16_epochs_5_lr_5e_05_acc_grad_2_max_length_165_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/danschr/roberta-large-BS_16-EPOCHS_5-LR_5e-05-ACC_GRAD_2-MAX_LENGTH_165
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_lora_2_63m_snli_model1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_lora_2_63m_snli_model1_pipeline_en.md
new file mode 100644
index 00000000000000..9f7f7f5dd5f6ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_lora_2_63m_snli_model1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_lora_2_63m_snli_model1_pipeline pipeline RoBertaForSequenceClassification from varun-v-rao
+author: John Snow Labs
+name: roberta_large_lora_2_63m_snli_model1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_lora_2_63m_snli_model1_pipeline` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_lora_2_63m_snli_model1_pipeline_en_5.5.0_3.0_1726805119008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_lora_2_63m_snli_model1_pipeline_en_5.5.0_3.0_1726805119008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_lora_2_63m_snli_model1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_lora_2_63m_snli_model1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_lora_2_63m_snli_model1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|915.0 MB|
+
+## References
+
+https://huggingface.co/varun-v-rao/roberta-large-lora-2.63M-snli-model1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_with_labeled_data_and_unlabeled_gab_reddit_semeval2023_task10_13300_labeled_sample_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_with_labeled_data_and_unlabeled_gab_reddit_semeval2023_task10_13300_labeled_sample_en.md
new file mode 100644
index 00000000000000..46cc56fc4d0393
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_with_labeled_data_and_unlabeled_gab_reddit_semeval2023_task10_13300_labeled_sample_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_with_labeled_data_and_unlabeled_gab_reddit_semeval2023_task10_13300_labeled_sample RoBertaEmbeddings from Hudee
+author: John Snow Labs
+name: roberta_large_with_labeled_data_and_unlabeled_gab_reddit_semeval2023_task10_13300_labeled_sample
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_with_labeled_data_and_unlabeled_gab_reddit_semeval2023_task10_13300_labeled_sample` is a English model originally trained by Hudee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_with_labeled_data_and_unlabeled_gab_reddit_semeval2023_task10_13300_labeled_sample_en_5.5.0_3.0_1726793813436.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_with_labeled_data_and_unlabeled_gab_reddit_semeval2023_task10_13300_labeled_sample_en_5.5.0_3.0_1726793813436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_with_labeled_data_and_unlabeled_gab_reddit_semeval2023_task10_13300_labeled_sample|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Hudee/roberta-large-with-labeled-data-and-unlabeled-gab-reddit-semeval2023-task10-13300-labeled-sample
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_prompt_classifier_v0_1_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_prompt_classifier_v0_1_en.md
new file mode 100644
index 00000000000000..b896836d1e72f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_prompt_classifier_v0_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_prompt_classifier_v0_1 RoBertaForSequenceClassification from DevQuasar
+author: John Snow Labs
+name: roberta_prompt_classifier_v0_1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_prompt_classifier_v0_1` is a English model originally trained by DevQuasar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_prompt_classifier_v0_1_en_5.5.0_3.0_1726798353464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_prompt_classifier_v0_1_en_5.5.0_3.0_1726798353464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_prompt_classifier_v0_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|442.1 MB|
+
+## References
+
+https://huggingface.co/DevQuasar/roberta-prompt_classifier-v0.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_prompt_classifier_v0_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_prompt_classifier_v0_1_pipeline_en.md
new file mode 100644
index 00000000000000..c522d34fc10504
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_prompt_classifier_v0_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_prompt_classifier_v0_1_pipeline pipeline RoBertaForSequenceClassification from DevQuasar
+author: John Snow Labs
+name: roberta_prompt_classifier_v0_1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_prompt_classifier_v0_1_pipeline` is a English model originally trained by DevQuasar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_prompt_classifier_v0_1_pipeline_en_5.5.0_3.0_1726798377433.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_prompt_classifier_v0_1_pipeline_en_5.5.0_3.0_1726798377433.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_prompt_classifier_v0_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_prompt_classifier_v0_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_prompt_classifier_v0_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|442.1 MB|
+
+## References
+
+https://huggingface.co/DevQuasar/roberta-prompt_classifier-v0.1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_recipes_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_recipes_en.md
new file mode 100644
index 00000000000000..ec790213f39d47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_recipes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_recipes RoBertaEmbeddings from ggilley
+author: John Snow Labs
+name: roberta_recipes
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_recipes` is a English model originally trained by ggilley.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_recipes_en_5.5.0_3.0_1726793396421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_recipes_en_5.5.0_3.0_1726793396421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_recipes|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|309.1 MB|
+
+## References
+
+https://huggingface.co/ggilley/roberta-recipes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_recipes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_recipes_pipeline_en.md
new file mode 100644
index 00000000000000..bd3761c60db033
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_recipes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_recipes_pipeline pipeline RoBertaEmbeddings from ggilley
+author: John Snow Labs
+name: roberta_recipes_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_recipes_pipeline` is a English model originally trained by ggilley.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_recipes_pipeline_en_5.5.0_3.0_1726793411147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_recipes_pipeline_en_5.5.0_3.0_1726793411147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_recipes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_recipes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_recipes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.1 MB|
+
+## References
+
+https://huggingface.co/ggilley/roberta-recipes
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_retrained_russian_covid_papers_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_retrained_russian_covid_papers_pipeline_en.md
new file mode 100644
index 00000000000000..3ea60afc5eb151
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_retrained_russian_covid_papers_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_retrained_russian_covid_papers_pipeline pipeline RoBertaEmbeddings from Daryaflp
+author: John Snow Labs
+name: roberta_retrained_russian_covid_papers_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_retrained_russian_covid_papers_pipeline` is a English model originally trained by Daryaflp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_retrained_russian_covid_papers_pipeline_en_5.5.0_3.0_1726796759347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_retrained_russian_covid_papers_pipeline_en_5.5.0_3.0_1726796759347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_retrained_russian_covid_papers_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_retrained_russian_covid_papers_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_retrained_russian_covid_papers_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.0 MB|
+
+## References
+
+https://huggingface.co/Daryaflp/roberta-retrained_ru_covid_papers
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_small_word_chinese_cluecorpussmall_zh.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_small_word_chinese_cluecorpussmall_zh.md
new file mode 100644
index 00000000000000..5a7399ce4c4d30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_small_word_chinese_cluecorpussmall_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese roberta_small_word_chinese_cluecorpussmall BertEmbeddings from uer
+author: John Snow Labs
+name: roberta_small_word_chinese_cluecorpussmall
+date: 2024-09-20
+tags: [zh, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_small_word_chinese_cluecorpussmall` is a Chinese model originally trained by uer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_small_word_chinese_cluecorpussmall_zh_5.5.0_3.0_1726805972591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_small_word_chinese_cluecorpussmall_zh_5.5.0_3.0_1726805972591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_small_word_chinese_cluecorpussmall|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|zh|
+|Size:|240.2 MB|
+
+## References
+
+https://huggingface.co/uer/roberta-small-word-chinese-cluecorpussmall
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_en.md b/docs/_posts/ahmedlone127/2024-09-20-sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_en.md
new file mode 100644
index 00000000000000..4a98b19894728c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2 RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_en_5.5.0_3.0_1726805117115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_en_5.5.0_3.0_1726805117115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/JerryYanJiang/SA-roberta-e3-w1-5-b16-w0.01-data2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_pipeline_en.md
new file mode 100644
index 00000000000000..d5013e6b7a6c71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_pipeline pipeline RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_pipeline` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_pipeline_en_5.5.0_3.0_1726805191015.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_pipeline_en_5.5.0_3.0_1726805191015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sanskrit_saskta_roberta_e3_w1_5_b16_w0_01_data2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/JerryYanJiang/SA-roberta-e3-w1-5-b16-w0.01-data2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_en.md b/docs/_posts/ahmedlone127/2024-09-20-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_en.md
new file mode 100644
index 00000000000000..f62cff0f286925
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111 XlmRoBertaForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111` is a English model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_en_5.5.0_3.0_1726799878819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_en_5.5.0_3.0_1726799878819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|884.2 MB|
+
+## References
+
+https://huggingface.co/haryoaw/scenario-NON-KD-SCR-D2_data-AmazonScience_massive_all_1_1111
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-schemeclassifier_esp_en.md b/docs/_posts/ahmedlone127/2024-09-20-schemeclassifier_esp_en.md
new file mode 100644
index 00000000000000..fa3930c08ef7ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-schemeclassifier_esp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English schemeclassifier_esp RoBertaForSequenceClassification from raruidol
+author: John Snow Labs
+name: schemeclassifier_esp
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`schemeclassifier_esp` is a English model originally trained by raruidol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/schemeclassifier_esp_en_5.5.0_3.0_1726805312691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/schemeclassifier_esp_en_5.5.0_3.0_1726805312691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|schemeclassifier_esp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.5 MB|
+
+## References
+
+https://huggingface.co/raruidol/SchemeClassifier-ESP
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-schemeclassifier_esp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-schemeclassifier_esp_pipeline_en.md
new file mode 100644
index 00000000000000..90b3a654011707
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-schemeclassifier_esp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English schemeclassifier_esp_pipeline pipeline RoBertaForSequenceClassification from raruidol
+author: John Snow Labs
+name: schemeclassifier_esp_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`schemeclassifier_esp_pipeline` is a English model originally trained by raruidol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/schemeclassifier_esp_pipeline_en_5.5.0_3.0_1726805334507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/schemeclassifier_esp_pipeline_en_5.5.0_3.0_1726805334507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("schemeclassifier_esp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("schemeclassifier_esp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|schemeclassifier_esp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.6 MB|
+
+## References
+
+https://huggingface.co/raruidol/SchemeClassifier-ESP
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-schwartz_values_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-20-schwartz_values_classifier_en.md
new file mode 100644
index 00000000000000..419dc0f1400100
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-schwartz_values_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English schwartz_values_classifier BertForSequenceClassification from devnote5676
+author: John Snow Labs
+name: schwartz_values_classifier
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`schwartz_values_classifier` is a English model originally trained by devnote5676.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/schwartz_values_classifier_en_5.5.0_3.0_1726797720657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/schwartz_values_classifier_en_5.5.0_3.0_1726797720657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|schwartz_values_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/devnote5676/schwartz-values-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-schwartz_values_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-schwartz_values_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..3fbbf20ce67059
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-schwartz_values_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English schwartz_values_classifier_pipeline pipeline BertForSequenceClassification from devnote5676
+author: John Snow Labs
+name: schwartz_values_classifier_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`schwartz_values_classifier_pipeline` is a English model originally trained by devnote5676.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/schwartz_values_classifier_pipeline_en_5.5.0_3.0_1726797739393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/schwartz_values_classifier_pipeline_en_5.5.0_3.0_1726797739393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("schwartz_values_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("schwartz_values_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|schwartz_values_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/devnote5676/schwartz-values-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sci_sentiment_classify_en.md b/docs/_posts/ahmedlone127/2024-09-20-sci_sentiment_classify_en.md
new file mode 100644
index 00000000000000..ca27be5e6a114e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sci_sentiment_classify_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sci_sentiment_classify BertForSequenceClassification from puzzz21
+author: John Snow Labs
+name: sci_sentiment_classify
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sci_sentiment_classify` is a English model originally trained by puzzz21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sci_sentiment_classify_en_5.5.0_3.0_1726797095305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sci_sentiment_classify_en_5.5.0_3.0_1726797095305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sci_sentiment_classify|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/puzzz21/sci-sentiment-classify
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sci_sentiment_classify_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sci_sentiment_classify_pipeline_en.md
new file mode 100644
index 00000000000000..881e0f06b3d803
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sci_sentiment_classify_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sci_sentiment_classify_pipeline pipeline BertForSequenceClassification from puzzz21
+author: John Snow Labs
+name: sci_sentiment_classify_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sci_sentiment_classify_pipeline` is a English model originally trained by puzzz21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sci_sentiment_classify_pipeline_en_5.5.0_3.0_1726797113964.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sci_sentiment_classify_pipeline_en_5.5.0_3.0_1726797113964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sci_sentiment_classify_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sci_sentiment_classify_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sci_sentiment_classify_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/puzzz21/sci-sentiment-classify
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_cased_swe_historical_pipeline_sv.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_cased_swe_historical_pipeline_sv.md
new file mode 100644
index 00000000000000..32854ccafcbb41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_cased_swe_historical_pipeline_sv.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Swedish sent_bert_base_cased_swe_historical_pipeline pipeline BertSentenceEmbeddings from Riksarkivet
+author: John Snow Labs
+name: sent_bert_base_cased_swe_historical_pipeline
+date: 2024-09-20
+tags: [sv, open_source, pipeline, onnx]
+task: Embeddings
+language: sv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_cased_swe_historical_pipeline` is a Swedish model originally trained by Riksarkivet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_cased_swe_historical_pipeline_sv_5.5.0_3.0_1726801529912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_cased_swe_historical_pipeline_sv_5.5.0_3.0_1726801529912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_cased_swe_historical_pipeline", lang = "sv")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_cased_swe_historical_pipeline", lang = "sv")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_cased_swe_historical_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sv|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/Riksarkivet/bert-base-cased-swe-historical
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_cased_swe_historical_sv.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_cased_swe_historical_sv.md
new file mode 100644
index 00000000000000..337e93d8221525
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_cased_swe_historical_sv.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Swedish sent_bert_base_cased_swe_historical BertSentenceEmbeddings from Riksarkivet
+author: John Snow Labs
+name: sent_bert_base_cased_swe_historical
+date: 2024-09-20
+tags: [sv, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: sv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_cased_swe_historical` is a Swedish model originally trained by Riksarkivet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_cased_swe_historical_sv_5.5.0_3.0_1726801506949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_cased_swe_historical_sv_5.5.0_3.0_1726801506949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_cased_swe_historical|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|sv|
+|Size:|504.9 MB|
+
+## References
+
+https://huggingface.co/Riksarkivet/bert-base-cased-swe-historical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_historic_english_cased_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_historic_english_cased_en.md
new file mode 100644
index 00000000000000..1e8446dfb12ae1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_historic_english_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_historic_english_cased BertSentenceEmbeddings from dbmdz
+author: John Snow Labs
+name: sent_bert_base_historic_english_cased
+date: 2024-09-20
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_historic_english_cased` is a English model originally trained by dbmdz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_historic_english_cased_en_5.5.0_3.0_1726814959288.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_historic_english_cased_en_5.5.0_3.0_1726814959288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_historic_english_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/dbmdz/bert-base-historic-english-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_historic_english_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_historic_english_cased_pipeline_en.md
new file mode 100644
index 00000000000000..ee15e77cd0d25f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_historic_english_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_historic_english_cased_pipeline pipeline BertSentenceEmbeddings from dbmdz
+author: John Snow Labs
+name: sent_bert_base_historic_english_cased_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_historic_english_cased_pipeline` is a English model originally trained by dbmdz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_historic_english_cased_pipeline_en_5.5.0_3.0_1726814979019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_historic_english_cased_pipeline_en_5.5.0_3.0_1726814979019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_historic_english_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_historic_english_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_historic_english_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/dbmdz/bert-base-historic-english-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_multilingual_cased_finetuned_wolof_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_multilingual_cased_finetuned_wolof_pipeline_xx.md
new file mode 100644
index 00000000000000..550b1a106b4ebe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_multilingual_cased_finetuned_wolof_pipeline_xx.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Multilingual sent_bert_base_multilingual_cased_finetuned_wolof_pipeline pipeline BertSentenceEmbeddings from Davlan
+author: John Snow Labs
+name: sent_bert_base_multilingual_cased_finetuned_wolof_pipeline
+date: 2024-09-20
+tags: [xx, open_source, pipeline, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_multilingual_cased_finetuned_wolof_pipeline` is a Multilingual model originally trained by Davlan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_wolof_pipeline_xx_5.5.0_3.0_1726801748090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_wolof_pipeline_xx_5.5.0_3.0_1726801748090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_multilingual_cased_finetuned_wolof_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_multilingual_cased_finetuned_wolof_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_multilingual_cased_finetuned_wolof_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|665.6 MB|
+
+## References
+
+https://huggingface.co/Davlan/bert-base-multilingual-cased-finetuned-wolof
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_multilingual_cased_finetuned_wolof_xx.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_multilingual_cased_finetuned_wolof_xx.md
new file mode 100644
index 00000000000000..d9301ee345a921
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_multilingual_cased_finetuned_wolof_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual sent_bert_base_multilingual_cased_finetuned_wolof BertSentenceEmbeddings from Davlan
+author: John Snow Labs
+name: sent_bert_base_multilingual_cased_finetuned_wolof
+date: 2024-09-20
+tags: [xx, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_multilingual_cased_finetuned_wolof` is a Multilingual model originally trained by Davlan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_wolof_xx_5.5.0_3.0_1726801717970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_wolof_xx_5.5.0_3.0_1726801717970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_multilingual_cased_finetuned_wolof|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/Davlan/bert-base-multilingual-cased-finetuned-wolof
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_phnghiapro_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_phnghiapro_pipeline_en.md
new file mode 100644
index 00000000000000..6e16efe4aace79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_phnghiapro_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_phnghiapro_pipeline pipeline BertSentenceEmbeddings from phnghiapro
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_phnghiapro_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_phnghiapro_pipeline` is a English model originally trained by phnghiapro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_phnghiapro_pipeline_en_5.5.0_3.0_1726814881577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_phnghiapro_pipeline_en_5.5.0_3.0_1726814881577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_issues_128_phnghiapro_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_issues_128_phnghiapro_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_phnghiapro_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/phnghiapro/bert-base-uncased-issues-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_sparse_85_unstructured_pruneofa_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_sparse_85_unstructured_pruneofa_en.md
new file mode 100644
index 00000000000000..e5bf1c8476ae7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_sparse_85_unstructured_pruneofa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_sparse_85_unstructured_pruneofa BertSentenceEmbeddings from Intel
+author: John Snow Labs
+name: sent_bert_base_uncased_sparse_85_unstructured_pruneofa
+date: 2024-09-20
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_sparse_85_unstructured_pruneofa` is a English model originally trained by Intel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_sparse_85_unstructured_pruneofa_en_5.5.0_3.0_1726815091277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_sparse_85_unstructured_pruneofa_en_5.5.0_3.0_1726815091277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_korean_albert_large_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|68.4 MB|
+
+## References
+
+https://huggingface.co/lots-o/ko-albert-large-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_korean_albert_large_v1_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-20-sent_korean_albert_large_v1_pipeline_ko.md
new file mode 100644
index 00000000000000..7556e45438ab04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_korean_albert_large_v1_pipeline_ko.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Korean sent_korean_albert_large_v1_pipeline pipeline BertSentenceEmbeddings from lots-o
+author: John Snow Labs
+name: sent_korean_albert_large_v1_pipeline
+date: 2024-09-20
+tags: [ko, open_source, pipeline, onnx]
+task: Embeddings
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_korean_albert_large_v1_pipeline` is a Korean model originally trained by lots-o.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_korean_albert_large_v1_pipeline_ko_5.5.0_3.0_1726801345311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_korean_albert_large_v1_pipeline_ko_5.5.0_3.0_1726801345311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_korean_albert_large_v1_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_korean_albert_large_v1_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_korean_albert_large_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|69.0 MB|
+
+## References
+
+https://huggingface.co/lots-o/ko-albert-large-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-splade_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-20-splade_roberta_en.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-splade_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English splade_roberta RoBertaEmbeddings from maximedb
+author: John Snow Labs
+name: splade_roberta
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`splade_roberta` is a English model originally trained by maximedb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/splade_roberta_en_5.5.0_3.0_1726796598793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/splade_roberta_en_5.5.0_3.0_1726796598793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|splade_roberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/maximedb/splade-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_en.md b/docs/_posts/ahmedlone127/2024-09-20-stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_en.md
new file mode 100644
index 00000000000000..dcfbd1e7e51822
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_en_5.5.0_3.0_1726792377875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_en_5.5.0_3.0_1726792377875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-90-2024-07-26_16-03-28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-stress_mentalbert_en.md b/docs/_posts/ahmedlone127/2024-09-20-stress_mentalbert_en.md
new file mode 100644
index 00000000000000..ef822353545d04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-stress_mentalbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stress_mentalbert BertForSequenceClassification from tiya1012
+author: John Snow Labs
+name: stress_mentalbert
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stress_mentalbert` is a English model originally trained by tiya1012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stress_mentalbert_en_5.5.0_3.0_1726803950452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stress_mentalbert_en_5.5.0_3.0_1726803950452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stress_mentalbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.8 MB|
+
+## References
+
+https://huggingface.co/tiya1012/stress_mentalbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-test2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-test2_pipeline_en.md
new file mode 100644
index 00000000000000..d294cca5b7f68f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-test2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English test2_pipeline pipeline WhisperForCTC from JoeTan
+author: John Snow Labs
+name: test2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test2_pipeline` is a English model originally trained by JoeTan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test2_pipeline_en_5.5.0_3.0_1726812708135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test2_pipeline_en_5.5.0_3.0_1726812708135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/JoeTan/test2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-tester2_en.md b/docs/_posts/ahmedlone127/2024-09-20-tester2_en.md
new file mode 100644
index 00000000000000..c17cb4a86a9f7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-tester2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tester2 DistilBertForSequenceClassification from thomasbeetz
+author: John Snow Labs
+name: tester2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tester2` is a English model originally trained by thomasbeetz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tester2_en_5.5.0_3.0_1726792088436.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tester2_en_5.5.0_3.0_1726792088436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tester2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thomasbeetz/tester2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-text_classification_linsad_en.md b/docs/_posts/ahmedlone127/2024-09-20-text_classification_linsad_en.md
new file mode 100644
index 00000000000000..e2e114d4be268b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-text_classification_linsad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English text_classification_linsad RoBertaForSequenceClassification from Linsad
+author: John Snow Labs
+name: text_classification_linsad
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_linsad` is a English model originally trained by Linsad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_linsad_en_5.5.0_3.0_1726805379993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_linsad_en_5.5.0_3.0_1726805379993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_linsad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|455.5 MB|
+
+## References
+
+https://huggingface.co/Linsad/text_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-text_classification_linsad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-text_classification_linsad_pipeline_en.md
new file mode 100644
index 00000000000000..1f239148cfb8ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-text_classification_linsad_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English text_classification_linsad_pipeline pipeline RoBertaForSequenceClassification from Linsad
+author: John Snow Labs
+name: text_classification_linsad_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_linsad_pipeline` is a English model originally trained by Linsad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_linsad_pipeline_en_5.5.0_3.0_1726805404134.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_linsad_pipeline_en_5.5.0_3.0_1726805404134.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("text_classification_linsad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("text_classification_linsad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_linsad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|455.5 MB|
+
+## References
+
+https://huggingface.co/Linsad/text_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-tmp_date_en.md b/docs/_posts/ahmedlone127/2024-09-20-tmp_date_en.md
new file mode 100644
index 00000000000000..1ccc708b9fc536
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-tmp_date_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tmp_date RoBertaEmbeddings from fvancesco
+author: John Snow Labs
+name: tmp_date
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tmp_date` is a English model originally trained by fvancesco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tmp_date_en_5.5.0_3.0_1726796224788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tmp_date_en_5.5.0_3.0_1726796224788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tmp_date|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/fvancesco/tmp_date
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-tmp_date_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-tmp_date_pipeline_en.md
new file mode 100644
index 00000000000000..d3ff20757ffa63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-tmp_date_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tmp_date_pipeline pipeline RoBertaEmbeddings from fvancesco
+author: John Snow Labs
+name: tmp_date_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tmp_date_pipeline` is a English model originally trained by fvancesco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tmp_date_pipeline_en_5.5.0_3.0_1726796246151.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tmp_date_pipeline_en_5.5.0_3.0_1726796246151.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tmp_date_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tmp_date_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tmp_date_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/fvancesco/tmp_date
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-tmp_trainer_rajendrabaskota_en.md b/docs/_posts/ahmedlone127/2024-09-20-tmp_trainer_rajendrabaskota_en.md
new file mode 100644
index 00000000000000..ffd064493a7989
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-tmp_trainer_rajendrabaskota_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tmp_trainer_rajendrabaskota RoBertaForSequenceClassification from rajendrabaskota
+author: John Snow Labs
+name: tmp_trainer_rajendrabaskota
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tmp_trainer_rajendrabaskota` is a English model originally trained by rajendrabaskota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tmp_trainer_rajendrabaskota_en_5.5.0_3.0_1726804464403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tmp_trainer_rajendrabaskota_en_5.5.0_3.0_1726804464403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitchleaguebert_1000k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|305.5 MB|
+
+## References
+
+https://huggingface.co/Epidot/TwitchLeagueBert-1000k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-twitter_xlm_roberta_base_sentiment_geomeife_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-twitter_xlm_roberta_base_sentiment_geomeife_pipeline_en.md
new file mode 100644
index 00000000000000..2912a40099b9e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-twitter_xlm_roberta_base_sentiment_geomeife_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_xlm_roberta_base_sentiment_geomeife_pipeline pipeline XlmRoBertaForSequenceClassification from Geomeife
+author: John Snow Labs
+name: twitter_xlm_roberta_base_sentiment_geomeife_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_xlm_roberta_base_sentiment_geomeife_pipeline` is a English model originally trained by Geomeife.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_base_sentiment_geomeife_pipeline_en_5.5.0_3.0_1726800743429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_base_sentiment_geomeife_pipeline_en_5.5.0_3.0_1726800743429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_xlm_roberta_base_sentiment_geomeife_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_xlm_roberta_base_sentiment_geomeife_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_xlm_roberta_base_sentiment_geomeife_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Geomeife/twitter-xlm-roberta-base-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-txt2xl_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-20-txt2xl_classifier_en.md
new file mode 100644
index 00000000000000..019612138a1c12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-txt2xl_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English txt2xl_classifier BertForSequenceClassification from alfiinyang
+author: John Snow Labs
+name: txt2xl_classifier
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`txt2xl_classifier` is a English model originally trained by alfiinyang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/txt2xl_classifier_en_5.5.0_3.0_1726797486177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/txt2xl_classifier_en_5.5.0_3.0_1726797486177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|txt2xl_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/alfiinyang/txt2xl_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-txt2xl_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-txt2xl_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..f2f9b8e8bbaf19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-txt2xl_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English txt2xl_classifier_pipeline pipeline BertForSequenceClassification from alfiinyang
+author: John Snow Labs
+name: txt2xl_classifier_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`txt2xl_classifier_pipeline` is a English model originally trained by alfiinyang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/txt2xl_classifier_pipeline_en_5.5.0_3.0_1726797504956.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/txt2xl_classifier_pipeline_en_5.5.0_3.0_1726797504956.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("txt2xl_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("txt2xl_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|txt2xl_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/alfiinyang/txt2xl_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-uned_tfg_08_64_mas_frecuentes_en.md b/docs/_posts/ahmedlone127/2024-09-20-uned_tfg_08_64_mas_frecuentes_en.md
new file mode 100644
index 00000000000000..08ff1d41a58dcf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-uned_tfg_08_64_mas_frecuentes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English uned_tfg_08_64_mas_frecuentes RoBertaForSequenceClassification from alexisdr
+author: John Snow Labs
+name: uned_tfg_08_64_mas_frecuentes
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`uned_tfg_08_64_mas_frecuentes` is a English model originally trained by alexisdr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uned_tfg_08_64_mas_frecuentes_en_5.5.0_3.0_1726804358181.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uned_tfg_08_64_mas_frecuentes_en_5.5.0_3.0_1726804358181.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wablab2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|sv|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Siphh/wabLab2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-wannasleep_en.md b/docs/_posts/ahmedlone127/2024-09-20-wannasleep_en.md
new file mode 100644
index 00000000000000..b07fe40bb5d250
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-wannasleep_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English wannasleep DistilBertForSequenceClassification from kithangw
+author: John Snow Labs
+name: wannasleep
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wannasleep` is a English model originally trained by kithangw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wannasleep_en_5.5.0_3.0_1726809642442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wannasleep_en_5.5.0_3.0_1726809642442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wannasleep|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kithangw/wannasleep
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_small_breton_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_breton_pipeline_en.md
new file mode 100644
index 00000000000000..d083b2defacf3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_breton_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_breton_pipeline pipeline WhisperForCTC from gweltou
+author: John Snow Labs
+name: whisper_small_breton_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_breton_pipeline` is a English model originally trained by gweltou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_breton_pipeline_en_5.5.0_3.0_1726814184192.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_breton_pipeline_en_5.5.0_3.0_1726814184192.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_breton_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_breton_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_breton_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/gweltou/whisper-small-br
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_small_hindi_rishabbahal_hi.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_hindi_rishabbahal_hi.md
new file mode 100644
index 00000000000000..406ec8668eb598
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_hindi_rishabbahal_hi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_rishabbahal WhisperForCTC from rishabbahal
+author: John Snow Labs
+name: whisper_small_hindi_rishabbahal
+date: 2024-09-20
+tags: [hi, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_rishabbahal` is a Hindi model originally trained by rishabbahal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_rishabbahal_hi_5.5.0_3.0_1726813456931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_rishabbahal_hi_5.5.0_3.0_1726813456931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_rishabbahal|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/rishabbahal/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_small_hindi_rishabbahal_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_hindi_rishabbahal_pipeline_hi.md
new file mode 100644
index 00000000000000..f5dae445e5aedc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_hindi_rishabbahal_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_rishabbahal_pipeline pipeline WhisperForCTC from rishabbahal
+author: John Snow Labs
+name: whisper_small_hindi_rishabbahal_pipeline
+date: 2024-09-20
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_rishabbahal_pipeline` is a Hindi model originally trained by rishabbahal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_rishabbahal_pipeline_hi_5.5.0_3.0_1726813544925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_rishabbahal_pipeline_hi_5.5.0_3.0_1726813544925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_rishabbahal_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_rishabbahal_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_rishabbahal_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/rishabbahal/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_small_oriya_bn.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_oriya_bn.md
new file mode 100644
index 00000000000000..a89f9de979e308
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_oriya_bn.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Bengali whisper_small_oriya WhisperForCTC from amitkayal
+author: John Snow Labs
+name: whisper_small_oriya
+date: 2024-09-20
+tags: [bn, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: bn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_oriya` is a Bengali model originally trained by amitkayal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_oriya_bn_5.5.0_3.0_1726811823443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_oriya_bn_5.5.0_3.0_1726811823443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_oriya|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|bn|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/amitkayal/whisper-small-or
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_small_yue_chinese_hk_retrained_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_yue_chinese_hk_retrained_1_pipeline_en.md
new file mode 100644
index 00000000000000..1cc058d78f78ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_yue_chinese_hk_retrained_1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_yue_chinese_hk_retrained_1_pipeline pipeline WhisperForCTC from wcyat
+author: John Snow Labs
+name: whisper_small_yue_chinese_hk_retrained_1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_yue_chinese_hk_retrained_1_pipeline` is a English model originally trained by wcyat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_yue_chinese_hk_retrained_1_pipeline_en_5.5.0_3.0_1726813560748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_yue_chinese_hk_retrained_1_pipeline_en_5.5.0_3.0_1726813560748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_yue_chinese_hk_retrained_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_yue_chinese_hk_retrained_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_yue_chinese_hk_retrained_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/wcyat/whisper-small-yue-hk-retrained-1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_divehi_hwhjones_en.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_divehi_hwhjones_en.md
new file mode 100644
index 00000000000000..834897e5fa4a7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_divehi_hwhjones_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_divehi_hwhjones WhisperForCTC from hwhjones
+author: John Snow Labs
+name: whisper_tiny_divehi_hwhjones
+date: 2024-09-20
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_divehi_hwhjones` is a English model originally trained by hwhjones.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_hwhjones_en_5.5.0_3.0_1726814430647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_hwhjones_en_5.5.0_3.0_1726814430647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_divehi_hwhjones|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/hwhjones/whisper-tiny-dv
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_divehi_hwhjones_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_divehi_hwhjones_pipeline_en.md
new file mode 100644
index 00000000000000..3429c7f7215efb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_divehi_hwhjones_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_divehi_hwhjones_pipeline pipeline WhisperForCTC from hwhjones
+author: John Snow Labs
+name: whisper_tiny_divehi_hwhjones_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_divehi_hwhjones_pipeline` is a English model originally trained by hwhjones.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_hwhjones_pipeline_en_5.5.0_3.0_1726814455479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_hwhjones_pipeline_en_5.5.0_3.0_1726814455479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_divehi_hwhjones_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_divehi_hwhjones_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_divehi_hwhjones_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/hwhjones/whisper-tiny-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_galician_gl.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_galician_gl.md
new file mode 100644
index 00000000000000..312343549bcefd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_galician_gl.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Galician whisper_tiny_galician WhisperForCTC from zuazo
+author: John Snow Labs
+name: whisper_tiny_galician
+date: 2024-09-20
+tags: [gl, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: gl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_galician` is a Galician model originally trained by zuazo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_galician_gl_5.5.0_3.0_1726812439818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_galician_gl_5.5.0_3.0_1726812439818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_us_agercas|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.8 MB|
+
+## References
+
+https://huggingface.co/agercas/whisper-tiny-us
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-withinapps_ndd_mrbs_test_content_tags_cwadj_en.md b/docs/_posts/ahmedlone127/2024-09-20-withinapps_ndd_mrbs_test_content_tags_cwadj_en.md
new file mode 100644
index 00000000000000..e29a994a8b7f66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-withinapps_ndd_mrbs_test_content_tags_cwadj_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English withinapps_ndd_mrbs_test_content_tags_cwadj DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_mrbs_test_content_tags_cwadj
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_mrbs_test_content_tags_cwadj` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_mrbs_test_content_tags_cwadj_en_5.5.0_3.0_1726792020221.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_mrbs_test_content_tags_cwadj_en_5.5.0_3.0_1726792020221.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_mrbs_test_content_tags_cwadj|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-mrbs_test-content_tags-CWAdj
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_claimbuster_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_claimbuster_en.md
new file mode 100644
index 00000000000000..3764f4ee3300b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_claimbuster_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_claimbuster XlmRoBertaForSequenceClassification from Nithiwat
+author: John Snow Labs
+name: xlm_roberta_base_claimbuster
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_claimbuster` is a English model originally trained by Nithiwat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_claimbuster_en_5.5.0_3.0_1726800419366.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_claimbuster_en_5.5.0_3.0_1726800419366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_claimbuster|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|845.1 MB|
+
+## References
+
+https://huggingface.co/Nithiwat/xlm-roberta-base_claimbuster
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_replace_synonym_2_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_replace_synonym_2_en.md
new file mode 100644
index 00000000000000..80b4bb447e29da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_replace_synonym_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_final_mixed_aug_replace_synonym_2 XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_mixed_aug_replace_synonym_2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_mixed_aug_replace_synonym_2` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_replace_synonym_2_en_5.5.0_3.0_1726799578150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_replace_synonym_2_en_5.5.0_3.0_1726799578150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_mixed_aug_replace_synonym_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|795.0 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_Mixed-aug_replace_synonym-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_replace_synonym_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_replace_synonym_2_pipeline_en.md
new file mode 100644
index 00000000000000..e9c3a7d5e94a8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_replace_synonym_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_final_mixed_aug_replace_synonym_2_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_mixed_aug_replace_synonym_2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_mixed_aug_replace_synonym_2_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_replace_synonym_2_pipeline_en_5.5.0_3.0_1726799708268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_replace_synonym_2_pipeline_en_5.5.0_3.0_1726799708268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_final_mixed_aug_replace_synonym_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_final_mixed_aug_replace_synonym_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_mixed_aug_replace_synonym_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|795.0 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_Mixed-aug_replace_synonym-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_marc_agudden_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_marc_agudden_en.md
new file mode 100644
index 00000000000000..65b13b1fc0fc93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_marc_agudden_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_marc_agudden XlmRoBertaForSequenceClassification from AGudden
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_marc_agudden
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_marc_agudden` is a English model originally trained by AGudden.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_agudden_en_5.5.0_3.0_1726799652088.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_agudden_en_5.5.0_3.0_1726799652088.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_marc_agudden|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|890.7 MB|
+
+## References
+
+https://huggingface.co/AGudden/xlm-roberta-base-finetuned-marc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_marc_agudden_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_marc_agudden_pipeline_en.md
new file mode 100644
index 00000000000000..58d1ec528c9559
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_marc_agudden_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_marc_agudden_pipeline pipeline XlmRoBertaForSequenceClassification from AGudden
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_marc_agudden_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_marc_agudden_pipeline` is a English model originally trained by AGudden.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_agudden_pipeline_en_5.5.0_3.0_1726799711712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_agudden_pipeline_en_5.5.0_3.0_1726799711712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_marc_agudden_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_marc_agudden_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_marc_agudden_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|890.8 MB|
+
+## References
+
+https://huggingface.co/AGudden/xlm-roberta-base-finetuned-marc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_en.md
new file mode 100644
index 00000000000000..62b6dff114b845
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_en_5.5.0_3.0_1726800782085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_en_5.5.0_3.0_1726800782085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|809.2 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr2e-05_seed42_esp-hau-eng_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_pipeline_en.md
new file mode 100644
index 00000000000000..87e52c6a7bdf07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_pipeline pipeline XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_pipeline` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_pipeline_en_5.5.0_3.0_1726800904398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_pipeline_en_5.5.0_3.0_1726800904398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr2e_05_seed42_esp_hau_eng_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|809.2 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr2e-05_seed42_esp-hau-eng_train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_en.md
new file mode 100644
index 00000000000000..6639ef4c06d68f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_en_5.5.0_3.0_1726799580694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_en_5.5.0_3.0_1726799580694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|796.5 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_seed42_original_kin-hau-eng_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_pipeline_en.md
new file mode 100644
index 00000000000000..cfd5c88ce14f67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_pipeline pipeline XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_pipeline` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_pipeline_en_5.5.0_3.0_1726799714139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_pipeline_en_5.5.0_3.0_1726799714139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_seed42_original_kinyarwanda_hau_eng_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|796.6 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_seed42_original_kin-hau-eng_train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_stress_identification_task_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_stress_identification_task_2_pipeline_en.md
new file mode 100644
index 00000000000000..aabd3d37d9a48a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_stress_identification_task_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_stress_identification_task_2_pipeline pipeline XlmRoBertaForSequenceClassification from mdosama39
+author: John Snow Labs
+name: xlm_roberta_base_stress_identification_task_2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_stress_identification_task_2_pipeline` is a English model originally trained by mdosama39.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_stress_identification_task_2_pipeline_en_5.5.0_3.0_1726799974952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_stress_identification_task_2_pipeline_en_5.5.0_3.0_1726799974952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_stress_identification_task_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_stress_identification_task_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_stress_identification_task_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|811.2 MB|
+
+## References
+
+https://huggingface.co/mdosama39/xlm-roberta-base-Stress-identification-task-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_en.md
new file mode 100644
index 00000000000000..53a4feb8a20cba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_en_5.5.0_3.0_1726800160138.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_en_5.5.0_3.0_1726800160138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|387.7 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-es-30000-tweet-sentiment-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_pipeline_en.md
new file mode 100644
index 00000000000000..4dec85a62d1dcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_pipeline_en_5.5.0_3.0_1726800186690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_pipeline_en_5.5.0_3.0_1726800186690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_spanish_30000_tweet_sentiment_spanish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|387.7 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-es-30000-tweet-sentiment-es
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_en.md
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+---
+layout: model
+title: English xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000 XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_en_5.5.0_3.0_1726800013364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_en_5.5.0_3.0_1726800013364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|350.1 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-de-trimmed-de-10000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_xnli_german_trimmed_german_60000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_xnli_german_trimmed_german_60000_pipeline_en.md
new file mode 100644
index 00000000000000..1f7ae74e5f1b6b
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+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_xnli_german_trimmed_german_60000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_german_trimmed_german_60000_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_german_trimmed_german_60000_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_german_trimmed_german_60000_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_german_trimmed_german_60000_pipeline_en_5.5.0_3.0_1726799768863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_german_trimmed_german_60000_pipeline_en_5.5.0_3.0_1726799768863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_xnli_german_trimmed_german_60000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_xnli_german_trimmed_german_60000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_german_trimmed_german_60000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|469.4 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-de-trimmed-de-60000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_v_base_xnli_french_trimmed_french_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_v_base_xnli_french_trimmed_french_pipeline_en.md
new file mode 100644
index 00000000000000..1c79a44749e4ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_v_base_xnli_french_trimmed_french_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_v_base_xnli_french_trimmed_french_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_v_base_xnli_french_trimmed_french_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_v_base_xnli_french_trimmed_french_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_v_base_xnli_french_trimmed_french_pipeline_en_5.5.0_3.0_1726800687492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_v_base_xnli_french_trimmed_french_pipeline_en_5.5.0_3.0_1726800687492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_v_base_xnli_french_trimmed_french_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_v_base_xnli_french_trimmed_french_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_v_base_xnli_french_trimmed_french_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|778.5 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-v-base-xnli-fr-trimmed-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlmr_romanian_english_norwegian_shuffled_orig_test1000_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlmr_romanian_english_norwegian_shuffled_orig_test1000_en.md
new file mode 100644
index 00000000000000..dd1dcf65277a2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlmr_romanian_english_norwegian_shuffled_orig_test1000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_romanian_english_norwegian_shuffled_orig_test1000 XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_romanian_english_norwegian_shuffled_orig_test1000
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_romanian_english_norwegian_shuffled_orig_test1000` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_romanian_english_norwegian_shuffled_orig_test1000_en_5.5.0_3.0_1726800254917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_romanian_english_norwegian_shuffled_orig_test1000_en_5.5.0_3.0_1726800254917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_romanian_english_norwegian_shuffled_orig_test1000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|819.9 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-ro-en-no_shuffled-orig-test1000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlmr_romanian_english_norwegian_shuffled_orig_test1000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlmr_romanian_english_norwegian_shuffled_orig_test1000_pipeline_en.md
new file mode 100644
index 00000000000000..375f5a78c4a782
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlmr_romanian_english_norwegian_shuffled_orig_test1000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlmr_romanian_english_norwegian_shuffled_orig_test1000_pipeline pipeline XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_romanian_english_norwegian_shuffled_orig_test1000_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_romanian_english_norwegian_shuffled_orig_test1000_pipeline` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_romanian_english_norwegian_shuffled_orig_test1000_pipeline_en_5.5.0_3.0_1726800366962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_romanian_english_norwegian_shuffled_orig_test1000_pipeline_en_5.5.0_3.0_1726800366962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmr_romanian_english_norwegian_shuffled_orig_test1000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmr_romanian_english_norwegian_shuffled_orig_test1000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_romanian_english_norwegian_shuffled_orig_test1000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|819.9 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-ro-en-no_shuffled-orig-test1000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_english_en.md b/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_english_en.md
new file mode 100644
index 00000000000000..7e4682ad8c97b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xnli_xlm_r_only_english XlmRoBertaForSequenceClassification from semindan
+author: John Snow Labs
+name: xnli_xlm_r_only_english
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xnli_xlm_r_only_english` is a English model originally trained by semindan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_english_en_5.5.0_3.0_1726800566520.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_english_en_5.5.0_3.0_1726800566520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+