FM / electra

/usr/local/lib/python3.6/site-packages/transformers/models/electra/

/usr/local/lib/python3.6/site-packages/transformers/models/electra

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_electra.py	9721	0644	edit dl rm
convert_electra_original_tf_checkpoint_to_pytorch.py	2845	0644	edit dl rm
modeling_electra.py	74529	0644	edit dl rm
modeling_flax_electra.py	44493	0644	edit dl rm
modeling_tf_electra.py	74458	0644	edit dl rm
tokenization_electra.py	2871	0644	edit dl rm
tokenization_electra_fast.py	3897	0644	edit dl rm
__init__.py	4305	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/electra/tokenization_electra.py (2871B)

# coding=utf-8
# Copyright 2020 The Google AI Team, Stanford University 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.

from ..bert.tokenization_bert import BertTokenizer

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

PRETRAINED_VOCAB_FILES_MAP = {
    "vocab_file": {
        "google/electra-small-generator": "https://huggingface.co/google/electra-small-generator/resolve/main/vocab.txt",
        "google/electra-base-generator": "https://huggingface.co/google/electra-base-generator/resolve/main/vocab.txt",
        "google/electra-large-generator": "https://huggingface.co/google/electra-large-generator/resolve/main/vocab.txt",
        "google/electra-small-discriminator": "https://huggingface.co/google/electra-small-discriminator/resolve/main/vocab.txt",
        "google/electra-base-discriminator": "https://huggingface.co/google/electra-base-discriminator/resolve/main/vocab.txt",
        "google/electra-large-discriminator": "https://huggingface.co/google/electra-large-discriminator/resolve/main/vocab.txt",
    }
}

PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {
    "google/electra-small-generator": 512,
    "google/electra-base-generator": 512,
    "google/electra-large-generator": 512,
    "google/electra-small-discriminator": 512,
    "google/electra-base-discriminator": 512,
    "google/electra-large-discriminator": 512,
}

PRETRAINED_INIT_CONFIGURATION = {
    "google/electra-small-generator": {"do_lower_case": True},
    "google/electra-base-generator": {"do_lower_case": True},
    "google/electra-large-generator": {"do_lower_case": True},
    "google/electra-small-discriminator": {"do_lower_case": True},
    "google/electra-base-discriminator": {"do_lower_case": True},
    "google/electra-large-discriminator": {"do_lower_case": True},
}

class ElectraTokenizer(BertTokenizer):
    r"""
    Construct an ELECTRA tokenizer.

[`ElectraTokenizer`] 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

cmd: