FM / plbart

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_plbart.py	8697	0644	edit dl rm
convert_plbart_original_checkpoint_to_torch.py	3553	0644	edit dl rm
modeling_plbart.py	81891	0644	edit dl rm
tokenization_plbart.py	20700	0644	edit dl rm
__init__.py	2054	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/plbart/__init__.py (2054B)

# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.

# Copyright 2022 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.
from typing import TYPE_CHECKING

from ...utils import _LazyModule, is_sentencepiece_available, is_tokenizers_available, is_torch_available

_import_structure = {
    "configuration_plbart": ["PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP", "PLBartConfig"],
}

if is_sentencepiece_available():
    _import_structure["tokenization_plbart"] = ["PLBartTokenizer"]

if is_torch_available():
    _import_structure["modeling_plbart"] = [
        "PLBART_PRETRAINED_MODEL_ARCHIVE_LIST",
        "PLBartForCausalLM",
        "PLBartForConditionalGeneration",
        "PLBartForSequenceClassification",
        "PLBartModel",
        "PLBartPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

if is_sentencepiece_available():
        from .tokenization_plbart import PLBartTokenizer

if is_torch_available():
        from .modeling_plbart import (
            PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
            PLBartForCausalLM,
            PLBartForConditionalGeneration,
            PLBartForSequenceClassification,
            PLBartModel,
            PLBartPreTrainedModel,
        )

else:
    import sys

sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)

cmd: