FM / imagegpt

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_imagegpt.py	6308	0644	edit dl rm
convert_imagegpt_original_tf2_to_pytorch.py	2691	0644	edit dl rm
feature_extraction_imagegpt.py	7231	0644	edit dl rm
modeling_imagegpt.py	53616	0644	edit dl rm
__init__.py	2110	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/imagegpt/__init__.py (2110B)

# 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 2020 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_imagegpt": ["IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ImageGPTConfig"],
}

if is_vision_available():
    _import_structure["feature_extraction_imagegpt"] = ["ImageGPTFeatureExtractor"]

if is_torch_available():
    _import_structure["modeling_imagegpt"] = [
        "IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ImageGPTForCausalImageModeling",
        "ImageGPTForImageClassification",
        "ImageGPTModel",
        "ImageGPTPreTrainedModel",
        "load_tf_weights_in_imagegpt",
    ]

if TYPE_CHECKING:
    from .configuration_imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig

if is_vision_available():
        from .feature_extraction_imagegpt import ImageGPTFeatureExtractor

if is_torch_available():
        from .modeling_imagegpt import (
            IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ImageGPTForCausalImageModeling,
            ImageGPTForImageClassification,
            ImageGPTModel,
            ImageGPTPreTrainedModel,
            load_tf_weights_in_imagegpt,
        )

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 2020 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_imagegpt": ["IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ImageGPTConfig"], } if is_vision_available(): _import_structure["feature_extraction_imagegpt"] = ["ImageGPTFeatureExtractor"] if is_torch_available(): _import_structure["modeling_imagegpt"] = [ "IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST", "ImageGPTForCausalImageModeling", "ImageGPTForImageClassification", "ImageGPTModel", "ImageGPTPreTrainedModel", "load_tf_weights_in_imagegpt", ] if TYPE_CHECKING: from .configuration_imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig if is_vision_available(): from .feature_extraction_imagegpt import ImageGPTFeatureExtractor if is_torch_available(): from .modeling_imagegpt import ( IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST, ImageGPTForCausalImageModeling, ImageGPTForImageClassification, ImageGPTModel, ImageGPTPreTrainedModel, load_tf_weights_in_imagegpt, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)