Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_mobilebert.py	7654	0644	editdlrm
convert_mobilebert_original_tf_checkpoint_to_pytorch.py	2172	0644	editdlrm
modeling_mobilebert.py	67051	0644	editdlrm
modeling_tf_mobilebert.py	69369	0644	editdlrm
tokenization_mobilebert.py	1669	0644	editdlrm
tokenization_mobilebert_fast.py	2033	0644	editdlrm
__init__.py	3864	0644	editdlrm

# coding=utf-8 # # Copyright 2020 The HuggingFace Team. All rights reserved. # # 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 MobileBERT.""" from ...utils import logging from ..bert.tokenization_bert import BertTokenizer logger = logging.get_logger(__name__) VOCAB_FILES_NAMES = {"vocab_file": "vocab.txt"} PRETRAINED_VOCAB_FILES_MAP = { "vocab_file": {"mobilebert-uncased": "https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt"} } PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {"mobilebert-uncased": 512} PRETRAINED_INIT_CONFIGURATION = {} class MobileBertTokenizer(BertTokenizer): r""" Construct a MobileBERT tokenizer. [`MobileBertTokenizer`] is identical to [`BertTokenizer`] and runs end-to-end tokenization: punctuation splitting and wordpiece. Refer to superclass [`BertTokenizer`] for usage examples and documentation concerning parameters. """ vocab_files_names = VOCAB_FILES_NAMES pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES pretrained_init_configuration = PRETRAINED_INIT_CONFIGURATION