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* Init work on pipelines doc * Work in progress * Work in progress * Doc pipelines * Rm unwanted default * Apply suggestions from code review Lysandre comments Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
50 lines
1.4 KiB
ReStructuredText
50 lines
1.4 KiB
ReStructuredText
Models
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The base classes :class:`~transformers.PreTrainedModel` and :class:`~transformers.TFPreTrainedModel` implement the
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common methods for loading/saving a model either from a local file or directory, or from a pretrained model
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configuration provided by the library (downloaded from HuggingFace's AWS S3 repository).
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:class:`~transformers.PreTrainedModel` and :class:`~transformers.TFPreTrainedModel` also implement a few methods which
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are common among all the models to:
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- resize the input token embeddings when new tokens are added to the vocabulary
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- prune the attention heads of the model.
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The other methods that are common to each model are defined in :class:`~transformers.modeling_utils.ModuleUtilsMixin`
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(for the PyTorch models) and :class:`~transformers.modeling_tf_utils.TFModuleUtilsMixin` (for the TensorFlow models).
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``PreTrainedModel``
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~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.PreTrainedModel
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:members:
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``ModuleUtilsMixin``
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~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.modeling_utils.ModuleUtilsMixin
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:members:
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``TFPreTrainedModel``
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~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.TFPreTrainedModel
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:members:
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``TFModelUtilsMixin``
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~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.modeling_tf_utils.TFModelUtilsMixin
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:members:
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Generative models
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~~~~~~~~~~~~~~~~~
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Coming soon
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