FM / convnext

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_convnext.py	4472	0644	edit dl rm
convert_convnext_to_pytorch.py	10222	0644	edit dl rm
feature_extraction_convnext.py	7318	0644	edit dl rm
modeling_convnext.py	17788	0644	edit dl rm
modeling_tf_convnext.py	22610	0644	edit dl rm
__init__.py	2305	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/convnext/__init__.py (2305B)

# 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

# rely on isort to merge the imports
from ...utils import _LazyModule, is_tf_available, is_torch_available, is_vision_available

_import_structure = {
    "configuration_convnext": ["CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvNextConfig"],
}

if is_vision_available():
    _import_structure["feature_extraction_convnext"] = ["ConvNextFeatureExtractor"]

if is_torch_available():
    _import_structure["modeling_convnext"] = [
        "CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ConvNextForImageClassification",
        "ConvNextModel",
        "ConvNextPreTrainedModel",
    ]

if is_tf_available():
    _import_structure["modeling_tf_convnext"] = [
        "TFConvNextForImageClassification",
        "TFConvNextModel",
        "TFConvNextPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_convnext import CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextConfig

if is_vision_available():
        from .feature_extraction_convnext import ConvNextFeatureExtractor

if is_torch_available():
        from .modeling_convnext import (
            CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConvNextForImageClassification,
            ConvNextModel,
            ConvNextPreTrainedModel,
        )

if is_tf_available():
        from .modeling_convnext import TFConvNextForImageClassification, TFConvNextModel, TFConvNextPreTrainedModel

else:
    import sys

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

# 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 # rely on isort to merge the imports from ...utils import _LazyModule, is_tf_available, is_torch_available, is_vision_available _import_structure = { "configuration_convnext": ["CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvNextConfig"], } if is_vision_available(): _import_structure["feature_extraction_convnext"] = ["ConvNextFeatureExtractor"] if is_torch_available(): _import_structure["modeling_convnext"] = [ "CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST", "ConvNextForImageClassification", "ConvNextModel", "ConvNextPreTrainedModel", ] if is_tf_available(): _import_structure["modeling_tf_convnext"] = [ "TFConvNextForImageClassification", "TFConvNextModel", "TFConvNextPreTrainedModel", ] if TYPE_CHECKING: from .configuration_convnext import CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextConfig if is_vision_available(): from .feature_extraction_convnext import ConvNextFeatureExtractor if is_torch_available(): from .modeling_convnext import ( CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST, ConvNextForImageClassification, ConvNextModel, ConvNextPreTrainedModel, ) if is_tf_available(): from .modeling_convnext import TFConvNextForImageClassification, TFConvNextModel, TFConvNextPreTrainedModel else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)