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43 lines
1.7 KiB
43 lines
1.7 KiB
# Copyright 2018 The HuggingFace Inc. team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Tokenization classes for DistilBERT."""
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from ...models.bert.tokenization_bert import BertTokenizer
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VOCAB_FILES_NAMES = {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}
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class DistilBertTokenizer(BertTokenizer):
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model_input_names = ["input_ids", "attention_mask"]
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def __init__(self, *args, do_lower_case: bool = True, **kwargs):
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"""
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Construct a DistilBERT tokenizer (backed by HuggingFace's tokenizers library). Based on WordPiece.
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This tokenizer inherits from [`BertTokenizer`] which contains most of the main methods. Users should refer to
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this superclass for more information regarding those methods.
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Args:
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do_lower_case (`bool`, *optional*, defaults to `True`):
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Whether or not to lowercase the input when tokenizing.
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"""
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super().__init__(*args, do_lower_case=do_lower_case, **kwargs)
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# DistilBertTokenizerFast is an alias for DistilBertTokenizer (since BertTokenizer is already a fast tokenizer)
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DistilBertTokenizerFast = DistilBertTokenizer
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__all__ = ["DistilBertTokenizer", "DistilBertTokenizerFast"]
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