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Fix docstring for BertTokenizerFast (#6185)

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- remove duplicate doc-entry for tokenize_chinese_chars
- add doc for strip_accents and wordpieces_prefix
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Philip May 2020-08-02 09:58:26 +02:00 committed by GitHub
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commit 82a0e2b67e
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1 changed files with 5 additions and 4 deletions
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src/transformers/tokenization_bert.py
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@ -577,10 +577,6 @@ class BertTokenizerFast(PreTrainedTokenizerFast):
mask_token (:obj:`string`, `optional`, defaults to "[MASK]"):
The token used for masking values. This is the token used when training this model with masked language
modeling. This is the token which the model will try to predict.
tokenize_chinese_chars (:obj:`bool`, `optional`, defaults to :obj:`True`):
Whether to tokenize Chinese characters.
This should likely be deactivated for Japanese:
see: https://github.com/huggingface/transformers/issues/328
clean_text (:obj:`bool`, `optional`, defaults to :obj:`True`):
Whether to clean the text before tokenization by removing any control characters and
replacing all whitespaces by the classic one.
@ -588,6 +584,11 @@ class BertTokenizerFast(PreTrainedTokenizerFast):
Whether to tokenize Chinese characters.
This should likely be deactivated for Japanese:
see: https://github.com/huggingface/transformers/issues/328
strip_accents: (:obj:`bool`, `optional`, defaults to :obj:`None`):
Whether to strip all accents. If this option is not specified (ie == None),
then it will be determined by the value for `lowercase` (as in the original Bert).
wordpieces_prefix: (:obj:`string`, `optional`, defaults to "##"):
The prefix for subwords.
"""
vocab_files_names = VOCAB_FILES_NAMES