make

docs/source/en/index.md

@@ -234,8 +234,8 @@ Flax), PyTorch, and/or TensorFlow.
 |                  [MobileNetV2](model_doc/mobilenet_v2)                   |       ✅        |         ❌         |      ❌      |
 |                     [MobileViT](model_doc/mobilevit)                     |       ✅        |         ✅         |      ❌      |
 |                   [MobileViTV2](model_doc/mobilevitv2)                   |       ✅        |         ❌         |      ❌      |
-|                     [Moonshine](model_doc/moonshine)                     |       ✅        |         ❌         |      ❌      |
 |                    [ModernBERT](model_doc/modernbert)                    |       ✅        |         ❌         |      ❌      |
+|                     [Moonshine](model_doc/moonshine)                     |       ✅        |         ❌         |      ❌      |
 |                         [Moshi](model_doc/moshi)                         |       ✅        |         ❌         |      ❌      |
 |                         [MPNet](model_doc/mpnet)                         |       ✅        |         ✅         |      ❌      |
 |                           [MPT](model_doc/mpt)                           |       ✅        |         ❌         |      ❌      |

src/transformers/utils/dummy_pt_objects.py

@@ -6488,56 +6488,56 @@ def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class MoonshineForConditionalGeneration(metaclass=DummyObject):
+class ModernBertForMaskedLM(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class ModernBertForMaskedLM(metaclass=DummyObject):
+class ModernBertForSequenceClassification(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class MoonshineModel(metaclass=DummyObject):
+class ModernBertForTokenClassification(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class ModernBertForSequenceClassification(metaclass=DummyObject):
+class ModernBertModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class MoonshinePreTrainedModel(metaclass=DummyObject):
+class ModernBertPreTrainedModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class ModernBertForTokenClassification(metaclass=DummyObject):
+class MoonshineForConditionalGeneration(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class ModernBertModel(metaclass=DummyObject):
+class MoonshineModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class ModernBertPreTrainedModel(metaclass=DummyObject):
+class MoonshinePreTrainedModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):