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* first draft * show design proposition for new generate method * up * make better readable * make first version * gpt2 tests pass * make beam search for gpt2 work * add first encoder-decoder code * delete typo * make t5 work * save indermediate * make bart work with beam search * finish beam search bart / t5 * add default kwargs * make more tests pass * fix no bad words sampler * some fixes and tests for all distribution processors * fix test * fix rag slow tests * merge to master * add nograd to generate * make all slow tests pass * speed up generate * fix edge case bug * small fix * correct typo * add type hints and docstrings * fix typos in tests * add beam search tests * add tests for beam scorer * fix test rag * finish beam search tests * move generation tests in seperate file * fix generation tests * more tests * add aggressive generation tests * fix tests * add gpt2 sample test * add more docstring * add more docs * finish doc strings * apply some more of sylvains and sams comments * fix some typos * make fix copies * apply lysandres and sylvains comments * final corrections on examples * small fix for reformer
56 lines
2.2 KiB
ReStructuredText
56 lines
2.2 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) or
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for text generation, :class:`~transformers.generation_utils.GenerationMixin` (for the PyTorch models) and
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:class:`~transformers.generation_tf_utils.TFGenerationMixin` (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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Generation
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.generation_utils.GenerationMixin
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:members:
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.. autoclass:: transformers.generation_tf_utils.TFGenerationMixin
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:members:
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