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* Start doc tokenizers * Tokenizer documentation * Start doc tokenizers * Tokenizer documentation * Formatting after rebase * Formatting after merge * Update docs/source/main_classes/tokenizer.rst Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Address comment * Update src/transformers/tokenization_utils_base.py Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com> * Address Thom's comments Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>
39 lines
1.3 KiB
ReStructuredText
39 lines
1.3 KiB
ReStructuredText
Utilities for Tokenizers
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------------------------
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This page lists all the utility functions used by the tokenizers, mainly the class
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:class:`~transformers.tokenization_utils_base.PreTrainedTokenizerBase` that implements the common methods between
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:class:`~transformers.PreTrainedTokenizer` and :class:`~transformers.PreTrainedTokenizerFast` and the mixin
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:class:`~transformers.tokenization_utils_base.SpecialTokensMixin`.
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Most of those are only useful if you are studying the code of the tokenizers in the library.
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``PreTrainedTokenizerBase``
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~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.tokenization_utils_base.PreTrainedTokenizerBase
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:special-members: __call__
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:members:
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``SpecialTokensMixin``
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~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.tokenization_utils_base.SpecialTokensMixin
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:members:
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Enums and namedtuples
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~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.tokenization_utils_base.ExplicitEnum
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.. autoclass:: transformers.tokenization_utils_base.PaddingStrategy
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.. autoclass:: transformers.tokenization_utils_base.TensorType
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.. autoclass:: transformers.tokenization_utils_base.TruncationStrategy
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.. autoclass:: transformers.tokenization_utils_base.CharSpan
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.. autoclass:: transformers.tokenization_utils_base.TokenSpan
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