# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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from ..electra.tokenizer import ElectraTokenizer
__all__ = [
"ConvBertTokenizer",
]
PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {"convbert-base": 512, "convbert-medium-small": 512, "convbert-small": 512}
[文档]class ConvBertTokenizer(ElectraTokenizer):
"""
Construct a ConvBERT tokenizer. `ConvBertTokenizer` is identical to `ElectraTokenizer`.
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": {
"convbert-base": "https://bj.bcebos.com/paddlenlp/models/transformers/convbert/convbert-base/vocab.txt",
"convbert-medium-small": "https://bj.bcebos.com/paddlenlp/models/transformers/convbert/convbert-medium-small/vocab.txt",
"convbert-small": "https://bj.bcebos.com/paddlenlp/models/transformers/convbert/convbert-small/vocab.txt",
}
}
pretrained_init_configuration = {
"convbert-base": {"do_lower_case": True},
"convbert-medium-small": {"do_lower_case": True},
"convbert-small": {"do_lower_case": True},
}
max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES