transformers/docs/source/internal/tokenization_utils.rst
Sylvain Gugger 3323146e90
Models doc (#7345)
* Clean up model documentation

* Formatting

* Preparation work

* Long lines

* Main work on rst files

* Cleanup all config files

* Syntax fix

* Clean all tokenizers

* Work on first models

* Models beginning

* FaluBERT

* All PyTorch models

* All models

* Long lines again

* Fixes

* More fixes

* Update docs/source/model_doc/bert.rst

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update docs/source/model_doc/electra.rst

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Last fixes

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
2020-09-23 13:20:45 -04:00

39 lines
1.6 KiB
ReStructuredText

Utilities for Tokenizers
-----------------------------------------------------------------------------------------------------------------------
This page lists all the utility functions used by the tokenizers, mainly the class
:class:`~transformers.tokenization_utils_base.PreTrainedTokenizerBase` that implements the common methods between
:class:`~transformers.PreTrainedTokenizer` and :class:`~transformers.PreTrainedTokenizerFast` and the mixin
:class:`~transformers.tokenization_utils_base.SpecialTokensMixin`.
Most of those are only useful if you are studying the code of the tokenizers in the library.
PreTrainedTokenizerBase
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.tokenization_utils_base.PreTrainedTokenizerBase
:special-members: __call__
:members:
SpecialTokensMixin
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.tokenization_utils_base.SpecialTokensMixin
:members:
Enums and namedtuples
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.tokenization_utils_base.ExplicitEnum
.. autoclass:: transformers.tokenization_utils_base.PaddingStrategy
.. autoclass:: transformers.tokenization_utils_base.TensorType
.. autoclass:: transformers.tokenization_utils_base.TruncationStrategy
.. autoclass:: transformers.tokenization_utils_base.CharSpan
.. autoclass:: transformers.tokenization_utils_base.TokenSpan