paddlenlp.transformers.distilbert.tokenizer 源代码

# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
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#     http://www.apache.org/licenses/LICENSE-2.0
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from ..bert.tokenizer import BertTokenizer

__all__ = ['DistilBertTokenizer']


[文档]class DistilBertTokenizer(BertTokenizer): """ Constructs a DistilBert tokenizer. The usage of DistilBertTokenizer is the same as `BertTokenizer <https://paddlenlp.readthedocs.io/zh/latest/source/paddlenlp.transformers.bert.tokenizer.html>`__. For more information regarding those methods, please refer to this superclass. """ resource_files_names = {"vocab_file": "vocab.txt"} # for save_pretrained pretrained_resource_files_map = { "vocab_file": { "distilbert-base-uncased": "https://bj.bcebos.com/paddlenlp/models/transformers/distilbert/distilbert-base-uncased-vocab.txt", "distilbert-base-cased": "https://bj.bcebos.com/paddlenlp/models/transformers/distilbert/distilbert-base-cased-vocab.txt", } } pretrained_init_configuration = { "distilbert-base-uncased": { "do_lower_case": True }, "distilbert-base-cased": { "do_lower_case": False }, } def __call__(self, text, text_pair=None, max_seq_len=None, stride=0, is_split_into_words=False, pad_to_max_seq_len=False, truncation_strategy="longest_first", return_position_ids=False, return_token_type_ids=False, return_attention_mask=False, return_length=False, return_overflowing_tokens=False, return_special_tokens_mask=False): return super(DistilBertTokenizer, self).__call__( text, text_pair, max_seq_len, stride, is_split_into_words, pad_to_max_seq_len, truncation_strategy, return_position_ids, return_token_type_ids, return_attention_mask, return_length, return_overflowing_tokens, return_special_tokens_mask)