FM / deit

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_deit.py	5430	0644	edit dl rm
convert_deit_timm_to_pytorch.py	9219	0644	edit dl rm
feature_extraction_deit.py	7065	0644	edit dl rm
modeling_deit.py	37574	0644	edit dl rm
__init__.py	2042	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/deit/__init__.py (2042B)

# 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 2021 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_torch_available, is_vision_available

_import_structure = {
    "configuration_deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig"],
}

if is_vision_available():
    _import_structure["feature_extraction_deit"] = ["DeiTFeatureExtractor"]

if is_torch_available():
    _import_structure["modeling_deit"] = [
        "DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "DeiTForImageClassification",
        "DeiTForImageClassificationWithTeacher",
        "DeiTForMaskedImageModeling",
        "DeiTModel",
        "DeiTPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig

if is_vision_available():
        from .feature_extraction_deit import DeiTFeatureExtractor

if is_torch_available():
        from .modeling_deit import (
            DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DeiTForImageClassification,
            DeiTForImageClassificationWithTeacher,
            DeiTForMaskedImageModeling,
            DeiTModel,
            DeiTPreTrainedModel,
        )

else:
    import sys

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

cmd: