Root methods instead of HfApi

docs/hub/adding-a-library.md

@@ -104,18 +104,11 @@ This will also add a tag to your model so users can quickly identify models from
 
 ## Upload files to the Hub
 
-You might also want to provide a method for creating model repositories and uploading files to the Hub directly from your library. The `HfApi` class has two methods to assist you with creating repositories and uploading files:
+You might also want to provide a method for creating model repositories and uploading files to the Hub directly from your library. The `huggingface_hub` library offers two methods to assist you with creating repositories and uploading files:
 
 - `create_repo` creates a repository on the Hub.
 - `upload_file` directly uploads files to a repository on the Hub.
 
-Begin by instantiating the `HfApi` class:
-
-```python
->>> from huggingface_hub import HfApi
->>> api = HfApi()
-```
-
 You will also need to retrieve your Hugging Face API token to create a repository and upload files to it. Retrieve your token with the `HfFolder` method:
 
 ```python
@@ -128,9 +121,8 @@ You will also need to retrieve your Hugging Face API token to create a repositor
 The `create_repo` method creates a repository on the Hub. Use the `name` parameter to provide a name for your repository:
 
 ```python
->>> from huggingface_hub import HfApi
->>> api = HfApi()
->>> api.create_repo(token=token, name="test-model")
+>>> from huggingface_hub import create_repo
+>>> create_repo(token=token, name="test-model")
 'https://huggingface.co/lysandre/test-model'
 ```
 
@@ -148,7 +140,8 @@ The `upload_file` method uploads files to the Hub. This method requires the foll
 For example:
 
 ```python
->>> api.upload_file(
+>>> from huggingface_hub import upload_file
+>>> upload_file(
 ...    token, 
 ...    path_or_fileobj="/home/lysandre/dummy-test/README.md", 
 ...    path_in_repo="README.md", 

docs/hub/endpoints.md

@@ -10,7 +10,7 @@ We have open endpoints that you can use to retrieve information from the Hub as
 
 ## Endpoints table
 
-| Endpoint                                                                         | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | `huggingface_hub` `HfApi` method       | Payload                                                                                                                                  |
+| Endpoint                                                                         | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | `huggingface_hub` root methods       | Payload                                                                                                                                  |
 | -------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
 | /api/models  <br/>  GET                                                          | Get information from all models in the Hub. You can specify additional parameters to have more specific results.  <br/>- `filter`: Filter based on tags, such as `text-classification` or `spacy`.<br/>- `sort`: Property to use when sorting. <br/>- `direction`: Direction in which to sort. <br/>- `limit`: Limit the number of models fetched. <br/>- `full`: Whether to fetch most model data, such as all tags, the files, etc. <br/>- `config`: Whether to also fetch the repo config. | `list_models()`                        | ```params= {   "filter":"filter", "full":"full", "sort": "sort",   "direction": "direction",   "limit": "limit",   "config": "config" }```                   |
 | /api/models/{repo_id} <br/> /api/models/{repo_id}/revision/{revision} <br/>  GET | Get all information for a specific model.                                                                                                                                                                                                                                                                                                                                                                                                                                         | `model_info(repo_id, revision)`        | ```headers = { "authorization" :  "Bearer $token" }```                                                                                     |

docs/hub/how-to-upstream.md

@@ -6,12 +6,12 @@ title: How to create repositories and upload files to the Hub
 
 *Upstream* utilities allow you to publish files to the Hub from your library. This guide will show you how to:
 
-* Use the `HfApi` class to manage a repository.
+* Use the repository-management methods available in the `huggingface_hub` package.
 * Use the `Repository` class to handle files and version control a repository with Git-like commands.
 
-## `HfApi`
+## `huggingface_hub` repository-management methods
 
-The `HfApi` class is a high-level class that wraps around HTTP requests. There are many valuable tasks you can accomplish with the `HfApi` class, including: 
+The `huggingface_hub` package offers high-level methods that wraps around HTTP requests. There are many valuable tasks you can accomplish with it, including: 
 
 - List and filter models and datasets.
 - Inspect model or dataset metadata.
@@ -27,51 +27,48 @@ You can view all the available filters on the left of the [model Hub](http://hf.
 ![/docs/assets/hub/hub_filters.png](/docs/assets/hub/hub_filters.png)
 
 ```python
->>> from huggingface_hub import HfApi
->>> api = HfApi()
+>>> from huggingface_hub import list_models
 
 # List all models.
->>> api.list_models()
+>>> list_models()
 
 # List only text classification models.
->>> api.list_models(filter="text-classification")
+>>> list_models(filter="text-classification")
 
 # List only Russian models compatible with PyTorch.
->>> api.list_models(filter=("languages:ru", "pytorch"))
+>>> list_models(filter=("languages:ru", "pytorch"))
 
 # List only the models trained on the "common_voice" dataset.
->>> api.list_models(filter="dataset:common_voice")
+>>> list_models(filter="dataset:common_voice")
 
 # List only the models from the spaCy library.
->>> api.list_models(filter="spacy")
+>>> list_models(filter="spacy")
 ```
 
 Explore available public datasets with `list_datasets`:
 
 ```python
->>> from huggingface_hub import HfApi
->>> api = HfApi()
+>>> from huggingface_hub import list_datasets
 
 # List only text classification datasets.
->>> api.list_datasets(filter="task_categories:text-classification")
+>>> list_datasets(filter="task_categories:text-classification")
 
 # List only datasets in Russian for language modeling.
->>> api.list_datasets(filter=("languages:ru", "task_ids:language-modeling"))
+>>> list_datasets(filter=("languages:ru", "task_ids:language-modeling"))
 ```
 
 ### Inspect model or dataset metadata
 
 Get important information about a model or dataset as shown below:
 
 ```python
->>> from huggingface_hub import HfApi
->>> api = HfApi()
+>>> from huggingface_hub import model_info, dataset_info
 
 # Get metadata of a single model.
->>> api.model_info("distilbert-base-uncased")
+>>> model_info("distilbert-base-uncased")
 
 # Get metadata of a single dataset.
->>> api.dataset_info("glue")
+>>> dataset_info("glue")
 ```
 
 ### Create a repository
@@ -87,39 +84,36 @@ Create a repository with `create_repo` and give it a name with the `name` parame
 2. Use `create_repo` to create your repository:
 
    ```python
-   >>> from huggingface_hub import HfApi
-   >>> api = HfApi()
-   >>> api.create_repo(token=token, name="test-model")
+   >>> from huggingface_hub import create_repo
+   >>> create_repo(token=token, name="test-model")
    'https://huggingface.co/lysandre/test-model'
    ```
 
 ### Delete a repository
 
 Delete a repository with `delete_repo`. Make sure you are certain you want to delete a repository because this is an irreversible process!
 
-Pass your token and the full repository ID to `delete_repo`. The full repository ID looks like `{username_or_org}/{repo_name}`, and you can retrieve it with `HfAPI().get_full_repo_name()` as shown below:
+Pass your token and the full repository ID to `delete_repo`. The full repository ID looks like `{username_or_org}/{repo_name}`, and you can retrieve it with `get_full_repo_name()` as shown below:
 
 ```python
->>> from huggingface_hub import HfApi
->>> name = HfAPI().get_full_repo_name(repo_name)
->>> api = HfApi()
->>> api.delete_repo(token=token, name=name)
+>>> from huggingface_hub import get_full_repo_name, delete_repo
+>>> name = get_full_repo_name(repo_name)
+>>> delete_repo(token=token, name=name)
 ```
 
 Delete a dataset repository by adding the `repo_type` parameter:
 
 ```python
->>> api.delete_repo(token=token, name=REPO_NAME, repo_type="dataset")
+>>> delete_repo(token=token, name=REPO_NAME, repo_type="dataset")
 ```
 
 ### Change repository visibility
 
 A repository can be public or private. A private repository is only visible to you or members of the organization in which the repository is located. Change a repository to private as shown in the following:
 
 ```python
->>> from huggingface_hub import HfApi
->>> api = HfApi()
->>> api.update_repo_visibility(token=token, name=REPO_NAME, private=True)
+>>> from huggingface_hub import update_repo_visibility
+>>> update_repo_visibility(token=token, name=REPO_NAME, private=True)
 ```
 
 ## `Repository` 
@@ -143,7 +137,7 @@ The `clone_from` parameter clones a repository from a Hugging Face model ID to a
 Easily combine the `clone_from` parameter with `create_repo` to create and clone a repository:
 
 ```python
->>> repo_url = HfApi().create_repo(name="repo_name")
+>>> repo_url = create_repo(name="repo_name")
 >>> repo = Repository(local_dir="repo_local_path", clone_from=repo_url)
 ```
 

docs/hub/tutorial-add-library.md

@@ -104,18 +104,11 @@ This will also add a tag to your model so users can quickly identify models from
 
 ## Upload files to the Hub
 
-You might also want to provide a method for creating model repositories and uploading files to the Hub directly from your library. The `HfApi` class has two methods to assist you with creating repositories and uploading files:
+You might also want to provide a method for creating model repositories and uploading files to the Hub directly from your library. The `huggingface_hub` package has two methods to assist you with creating repositories and uploading files:
 
 - `create_repo` creates a repository on the Hub.
 - `upload_file` directly uploads files to a repository on the Hub.
 
-Begin by instantiating the `HfApi` class:
-
-```python
->>> from huggingface_hub import HfApi
->>> api = HfApi()
-```
-
 You will also need to retrieve your Hugging Face API token to create a repository and upload files to it. Retrieve your token with the `HfFolder` method:
 
 ```python
@@ -128,9 +121,8 @@ You will also need to retrieve your Hugging Face API token to create a repositor
 The `create_repo` method creates a repository on the Hub. Use the `name` parameter to provide a name for your repository:
 
 ```python
->>> from huggingface_hub import HfApi
->>> api = HfApi()
->>> api.create_repo(token=token, name="test-model")
+>>> from huggingface_hub import create_repo
+>>> create_repo(token=token, name="test-model")
 'https://huggingface.co/lysandre/test-model'
 ```
 
@@ -148,7 +140,8 @@ The `upload_file` method uploads files to the Hub. This method requires the foll
 For example:
 
 ```python
->>> api.upload_file(
+>>> from huggingface_hub import upload_file
+>>> upload_file(
 ...    token, 
 ...    path_or_fileobj="/home/lysandre/dummy-test/README.md", 
 ...    path_in_repo="README.md", 

src/huggingface_hub/__init__.py

@@ -31,7 +31,24 @@
     TF_WEIGHTS_NAME,
 )
 from .file_download import cached_download, hf_hub_download, hf_hub_url
-from .hf_api import HfApi, HfFolder, repo_type_and_id_from_hf_id
+from .hf_api import (
+    HfApi,
+    HfFolder,
+    create_repo,
+    dataset_info,
+    delete_repo,
+    get_full_repo_name,
+    list_datasets,
+    list_models,
+    list_repos_objs,
+    login,
+    logout,
+    model_info,
+    repo_type_and_id_from_hf_id,
+    update_repo_visibility,
+    upload_file,
+    whoami,
+)
 from .hub_mixin import ModelHubMixin, PyTorchModelHubMixin
 from .inference_api import InferenceApi
 from .keras_mixin import (

src/huggingface_hub/hf_api.py

@@ -871,3 +871,23 @@ def delete_token(cls):
             os.remove(cls.path_token)
         except FileNotFoundError:
             pass
+
+
+api = HfApi()
+
+login = api.login
+logout = api.logout
+whoami = api.whoami
+
+list_models = api.list_models
+model_info = api.model_info
+list_repos_objs = api.list_repos_objs
+
+list_datasets = api.list_datasets
+dataset_info = api.dataset_info
+
+create_repo = api.create_repo
+delete_repo = api.delete_repo
+update_repo_visibility = api.update_repo_visibility
+upload_file = api.upload_file
+get_full_repo_name = api.get_full_repo_name