FM / beit

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_beit.py	9608	0644	edit dl rm
convert_beit_unilm_to_pytorch.py	16323	0644	edit dl rm
feature_extraction_beit.py	10243	0644	edit dl rm
modeling_beit.py	53082	0644	edit dl rm
modeling_flax_beit.py	36085	0644	edit dl rm
__init__.py	2532	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/beit/__init__.py (2532B)

# 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_flax_available, is_torch_available, is_vision_available

_import_structure = {
    "configuration_beit": ["BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BeitConfig", "BeitOnnxConfig"],
}

if is_vision_available():
    _import_structure["feature_extraction_beit"] = ["BeitFeatureExtractor"]

if is_torch_available():
    _import_structure["modeling_beit"] = [
        "BEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "BeitForImageClassification",
        "BeitForMaskedImageModeling",
        "BeitForSemanticSegmentation",
        "BeitModel",
        "BeitPreTrainedModel",
    ]

if is_flax_available():
    _import_structure["modeling_flax_beit"] = [
        "FlaxBeitForImageClassification",
        "FlaxBeitForMaskedImageModeling",
        "FlaxBeitModel",
        "FlaxBeitPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_beit import BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BeitConfig, BeitOnnxConfig

if is_vision_available():
        from .feature_extraction_beit import BeitFeatureExtractor

if is_torch_available():
        from .modeling_beit import (
            BEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BeitForImageClassification,
            BeitForMaskedImageModeling,
            BeitForSemanticSegmentation,
            BeitModel,
            BeitPreTrainedModel,
        )

if is_flax_available():
        from .modeling_flax_beit import (
            FlaxBeitForImageClassification,
            FlaxBeitForMaskedImageModeling,
            FlaxBeitModel,
            FlaxBeitPreTrainedModel,
        )

else:
    import sys

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

# 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_flax_available, is_torch_available, is_vision_available _import_structure = { "configuration_beit": ["BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BeitConfig", "BeitOnnxConfig"], } if is_vision_available(): _import_structure["feature_extraction_beit"] = ["BeitFeatureExtractor"] if is_torch_available(): _import_structure["modeling_beit"] = [ "BEIT_PRETRAINED_MODEL_ARCHIVE_LIST", "BeitForImageClassification", "BeitForMaskedImageModeling", "BeitForSemanticSegmentation", "BeitModel", "BeitPreTrainedModel", ] if is_flax_available(): _import_structure["modeling_flax_beit"] = [ "FlaxBeitForImageClassification", "FlaxBeitForMaskedImageModeling", "FlaxBeitModel", "FlaxBeitPreTrainedModel", ] if TYPE_CHECKING: from .configuration_beit import BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BeitConfig, BeitOnnxConfig if is_vision_available(): from .feature_extraction_beit import BeitFeatureExtractor if is_torch_available(): from .modeling_beit import ( BEIT_PRETRAINED_MODEL_ARCHIVE_LIST, BeitForImageClassification, BeitForMaskedImageModeling, BeitForSemanticSegmentation, BeitModel, BeitPreTrainedModel, ) if is_flax_available(): from .modeling_flax_beit import ( FlaxBeitForImageClassification, FlaxBeitForMaskedImageModeling, FlaxBeitModel, FlaxBeitPreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)