Source code for transformers.tokenization_mobilebert

# coding=utf-8
#
# 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 .tokenization_bert import BertTokenizer, BertTokenizerFast
from .utils import logging


logger = logging.get_logger(__name__)

VOCAB_FILES_NAMES = {"vocab_file": "vocab.txt"}

PRETRAINED_VOCAB_FILES_MAP = {
    "vocab_file": {
        "mobilebert-uncased": "https://s3.amazonaws.com/models.huggingface.co/bert/google/mobilebert-uncased/vocab.txt"
    }
}

PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {}


PRETRAINED_INIT_CONFIGURATION = {}


[docs]class MobileBertTokenizer(BertTokenizer): r""" Constructs a MobileBertTokenizer. :class:`~transformers.MobileBertTokenizer is identical to :class:`~transformers.BertTokenizer` and runs end-to-end tokenization: punctuation splitting + wordpiece. Refer to superclass :class:`~transformers.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
[docs]class MobileBertTokenizerFast(BertTokenizerFast): r""" Constructs a "Fast" MobileBertTokenizer (backed by HuggingFace's `tokenizers` library). :class:`~transformers.MobileBertTokenizerFast` is identical to :class:`~transformers.BertTokenizerFast` and runs end-to-end tokenization: punctuation splitting + wordpiece. Refer to superclass :class:`~transformers.BertTokenizerFast` 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