69 lines
3 KiB
Python
69 lines
3 KiB
Python
# Copyright 2020 The Google AI Team, Stanford University and The HuggingFace Inc. team.
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# Copyright (c) 2020 NVIDIA CORPORATION. All rights reserved.
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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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from tokenization_utils import BertTokenizer
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from tokenization_utils import BertTokenizer
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VOCAB_FILES_NAMES = {"vocab_file": "vocab.txt"}
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PRETRAINED_VOCAB_FILES_MAP = {
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"vocab_file": {
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"google/electra-small-generator": "https://s3.amazonaws.com/models.huggingface.co/bert/google/electra-small-generator/vocab.txt",
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"google/electra-base-generator": "https://s3.amazonaws.com/models.huggingface.co/bert/google/electra-base-generator/vocab.txt",
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"google/electra-large-generator": "https://s3.amazonaws.com/models.huggingface.co/bert/google/electra-large-generator/vocab.txt",
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"google/electra-small-discriminator": "https://s3.amazonaws.com/models.huggingface.co/bert/google/electra-small-discriminator/vocab.txt",
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"google/electra-base-discriminator": "https://s3.amazonaws.com/models.huggingface.co/bert/google/electra-base-discriminator/vocab.txt",
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"google/electra-large-discriminator": "https://s3.amazonaws.com/models.huggingface.co/bert/google/electra-large-discriminator/vocab.txt",
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}
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}
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PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {
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"google/electra-small-generator": 512,
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"google/electra-base-generator": 512,
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"google/electra-large-generator": 512,
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"google/electra-small-discriminator": 512,
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"google/electra-base-discriminator": 512,
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"google/electra-large-discriminator": 512,
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}
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PRETRAINED_INIT_CONFIGURATION = {
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"google/electra-small-generator": {"do_lower_case": True},
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"google/electra-base-generator": {"do_lower_case": True},
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"google/electra-large-generator": {"do_lower_case": True},
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"google/electra-small-discriminator": {"do_lower_case": True},
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"google/electra-base-discriminator": {"do_lower_case": True},
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"google/electra-large-discriminator": {"do_lower_case": True},
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}
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class ElectraTokenizer(BertTokenizer):
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r"""
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Constructs an Electra tokenizer.
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:class:`~transformers.ElectraTokenizer` is identical to :class:`~transformers.BertTokenizer` and runs end-to-end
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tokenization: punctuation splitting + wordpiece.
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Refer to superclass :class:`~transformers.BertTokenizer` for usage examples and documentation concerning
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parameters.
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"""
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vocab_files_names = VOCAB_FILES_NAMES
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pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP
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max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
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pretrained_init_configuration = PRETRAINED_INIT_CONFIGURATION
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