wehub-resource-sync
45 lines
1.9 KiB
Python
45 lines
1.9 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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# Copyright 2018 The Google AI Language Team Authors and 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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from ..electra.tokenizer import ElectraTokenizer
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__all__ = [
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"ConvBertTokenizer",
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]
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PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {"convbert-base": 512, "convbert-medium-small": 512, "convbert-small": 512}
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class ConvBertTokenizer(ElectraTokenizer):
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"""
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Construct a ConvBERT tokenizer. `ConvBertTokenizer` is identical to `ElectraTokenizer`.
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For more information regarding those methods, please refer to this superclass.
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"""
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resource_files_names = {"vocab_file": "vocab.txt"} # for save_pretrained
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pretrained_resource_files_map = {
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"vocab_file": {
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"convbert-base": "https://bj.bcebos.com/paddlenlp/models/transformers/convbert/convbert-base/vocab.txt",
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"convbert-medium-small": "https://bj.bcebos.com/paddlenlp/models/transformers/convbert/convbert-medium-small/vocab.txt",
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"convbert-small": "https://bj.bcebos.com/paddlenlp/models/transformers/convbert/convbert-small/vocab.txt",
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}
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}
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pretrained_init_configuration = {
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"convbert-base": {"do_lower_case": True},
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"convbert-medium-small": {"do_lower_case": True},
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"convbert-small": {"do_lower_case": True},
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}
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max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
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