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Tokenizers docs: Specify which class contains __call__ method (#14379)

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* Update tokenizer.rst

* Apply `make fixup`
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Xing Han Lu
2021-11-28 18:55:38 -05:00
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docs/source/main_classes/tokenizer.rst
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@@ -39,7 +39,8 @@ methods for using all the tokenizers:
- Managing special tokens (like mask, beginning-of-sentence, etc.): adding them, assigning them to attributes in the - Managing special tokens (like mask, beginning-of-sentence, etc.): adding them, assigning them to attributes in the
tokenizer for easy access and making sure they are not split during tokenization. tokenizer for easy access and making sure they are not split during tokenization.
:class:`~transformers.BatchEncoding` holds the output of the tokenizer's encoding methods (``__call__``, :class:`~transformers.BatchEncoding` holds the output of the
:class:`~transformers.tokenization_utils_base.PreTrainedTokenizerBase`'s encoding methods (``__call__``,
``encode_plus`` and ``batch_encode_plus``) and is derived from a Python dictionary. When the tokenizer is a pure python ``encode_plus`` and ``batch_encode_plus``) and is derived from a Python dictionary. When the tokenizer is a pure python
tokenizer, this class behaves just like a standard python dictionary and holds the various model inputs computed by tokenizer, this class behaves just like a standard python dictionary and holds the various model inputs computed by
these methods (``input_ids``, ``attention_mask``...). When the tokenizer is a "Fast" tokenizer (i.e., backed by these methods (``input_ids``, ``attention_mask``...). When the tokenizer is a "Fast" tokenizer (i.e., backed by