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| # Models | |
| The base classes [`PreTrainedModel`], [`TFPreTrainedModel`], and | |
| [`FlaxPreTrainedModel`] implement the common methods for loading/saving a model either from a local | |
| file or directory, or from a pretrained model configuration provided by the library (downloaded from HuggingFace's AWS | |
| S3 repository). | |
| [`PreTrainedModel`] and [`TFPreTrainedModel`] also implement a few methods which | |
| are common among all the models to: | |
| - resize the input token embeddings when new tokens are added to the vocabulary | |
| - prune the attention heads of the model. | |
| The other methods that are common to each model are defined in [`~modeling_utils.ModuleUtilsMixin`] | |
| (for the PyTorch models) and [`~modeling_tf_utils.TFModuleUtilsMixin`] (for the TensorFlow models) or | |
| for text generation, [`~generation.GenerationMixin`] (for the PyTorch models), | |
| [`~generation.TFGenerationMixin`] (for the TensorFlow models) and | |
| [`~generation.FlaxGenerationMixin`] (for the Flax/JAX models). | |
| ## PreTrainedModel | |
| [[autodoc]] PreTrainedModel | |
| - push_to_hub | |
| - all | |
| ## ModuleUtilsMixin | |
| [[autodoc]] modeling_utils.ModuleUtilsMixin | |
| ## TFPreTrainedModel | |
| [[autodoc]] TFPreTrainedModel | |
| - push_to_hub | |
| - all | |
| ## TFModelUtilsMixin | |
| [[autodoc]] modeling_tf_utils.TFModelUtilsMixin | |
| ## FlaxPreTrainedModel | |
| [[autodoc]] FlaxPreTrainedModel | |
| - push_to_hub | |
| - all | |
| ## Pushing to the Hub | |
| [[autodoc]] utils.PushToHubMixin | |
| ## Sharded checkpoints | |
| [[autodoc]] modeling_utils.load_sharded_checkpoint | |