# 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.
# See the License for the specific language governing permissions and
# limitations under the License.
""" Tokenization classes for LayoutLM model."""
from ..bert.tokenizer import BertTokenizer
__all__ = ["LayoutLMTokenizer"]
PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {"layoutlm-base-uncased": 512, "layoutlm-large-uncased": 512}
[文档]class LayoutLMTokenizer(BertTokenizer):
"""
The usage of LayoutLMTokenizer 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": {
"layoutlm-base-uncased": "https://bj.bcebos.com/paddlenlp/models/transformers/layoutlm/layoutlm-base-uncased/vocab.txt",
"layoutlm-large-uncased": "https://bj.bcebos.com/paddlenlp/models/transformers/layoutlm/layoutlm-large-uncased/vocab.txt",
}
}
pretrained_init_configuration = {
"layoutlm-base-uncased": {"do_lower_case": True},
"layoutlm-large-uncased": {"do_lower_case": True},
}
max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES