FM / clip

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_clip.py	14347	0644	edit dl rm
convert_clip_original_pytorch_to_hf.py	5248	0644	edit dl rm
feature_extraction_clip.py	9140	0644	edit dl rm
modeling_clip.py	45784	0644	edit dl rm
modeling_flax_clip.py	44198	0644	edit dl rm
modeling_tf_clip.py	55491	0644	edit dl rm
processing_clip.py	5383	0644	edit dl rm
tokenization_clip.py	13855	0644	edit dl rm
tokenization_clip_fast.py	6929	0644	edit dl rm
__init__.py	3517	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/clip/__init__.py (3517B)

# 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_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)

_import_structure = {
    "configuration_clip": ["CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP", "CLIPConfig", "CLIPTextConfig", "CLIPVisionConfig"],
    "tokenization_clip": ["CLIPTokenizer"],
}

if is_tokenizers_available():
    _import_structure["tokenization_clip_fast"] = ["CLIPTokenizerFast"]

if is_vision_available():
    _import_structure["feature_extraction_clip"] = ["CLIPFeatureExtractor"]
    _import_structure["processing_clip"] = ["CLIPProcessor"]

if is_torch_available():
    _import_structure["modeling_clip"] = [
        "CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "CLIPModel",
        "CLIPPreTrainedModel",
        "CLIPTextModel",
        "CLIPVisionModel",
    ]

if is_tf_available():
    _import_structure["modeling_tf_clip"] = [
        "TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "TFCLIPModel",
        "TFCLIPPreTrainedModel",
        "TFCLIPTextModel",
        "TFCLIPVisionModel",
    ]

if is_flax_available():
    _import_structure["modeling_flax_clip"] = [
        "FlaxCLIPModel",
        "FlaxCLIPPreTrainedModel",
        "FlaxCLIPTextModel",
        "FlaxCLIPTextPreTrainedModel",
        "FlaxCLIPVisionModel",
        "FlaxCLIPVisionPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_clip import CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, CLIPConfig, CLIPTextConfig, CLIPVisionConfig
    from .tokenization_clip import CLIPTokenizer

if is_tokenizers_available():
        from .tokenization_clip_fast import CLIPTokenizerFast

if is_vision_available():
        from .feature_extraction_clip import CLIPFeatureExtractor
        from .processing_clip import CLIPProcessor

if is_torch_available():
        from .modeling_clip import (
            CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            CLIPModel,
            CLIPPreTrainedModel,
            CLIPTextModel,
            CLIPVisionModel,
        )

if is_tf_available():
        from .modeling_tf_clip import (
            TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCLIPModel,
            TFCLIPPreTrainedModel,
            TFCLIPTextModel,
            TFCLIPVisionModel,
        )

if is_flax_available():
        from .modeling_flax_clip import (
            FlaxCLIPModel,
            FlaxCLIPPreTrainedModel,
            FlaxCLIPTextModel,
            FlaxCLIPTextPreTrainedModel,
            FlaxCLIPVisionModel,
            FlaxCLIPVisionPreTrainedModel,
        )

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_tf_available, is_tokenizers_available, is_torch_available, is_vision_available, ) _import_structure = { "configuration_clip": ["CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP", "CLIPConfig", "CLIPTextConfig", "CLIPVisionConfig"], "tokenization_clip": ["CLIPTokenizer"], } if is_tokenizers_available(): _import_structure["tokenization_clip_fast"] = ["CLIPTokenizerFast"] if is_vision_available(): _import_structure["feature_extraction_clip"] = ["CLIPFeatureExtractor"] _import_structure["processing_clip"] = ["CLIPProcessor"] if is_torch_available(): _import_structure["modeling_clip"] = [ "CLIP_PRETRAINED_MODEL_ARCHIVE_LIST", "CLIPModel", "CLIPPreTrainedModel", "CLIPTextModel", "CLIPVisionModel", ] if is_tf_available(): _import_structure["modeling_tf_clip"] = [ "TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST", "TFCLIPModel", "TFCLIPPreTrainedModel", "TFCLIPTextModel", "TFCLIPVisionModel", ] if is_flax_available(): _import_structure["modeling_flax_clip"] = [ "FlaxCLIPModel", "FlaxCLIPPreTrainedModel", "FlaxCLIPTextModel", "FlaxCLIPTextPreTrainedModel", "FlaxCLIPVisionModel", "FlaxCLIPVisionPreTrainedModel", ] if TYPE_CHECKING: from .configuration_clip import CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, CLIPConfig, CLIPTextConfig, CLIPVisionConfig from .tokenization_clip import CLIPTokenizer if is_tokenizers_available(): from .tokenization_clip_fast import CLIPTokenizerFast if is_vision_available(): from .feature_extraction_clip import CLIPFeatureExtractor from .processing_clip import CLIPProcessor if is_torch_available(): from .modeling_clip import ( CLIP_PRETRAINED_MODEL_ARCHIVE_LIST, CLIPModel, CLIPPreTrainedModel, CLIPTextModel, CLIPVisionModel, ) if is_tf_available(): from .modeling_tf_clip import ( TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST, TFCLIPModel, TFCLIPPreTrainedModel, TFCLIPTextModel, TFCLIPVisionModel, ) if is_flax_available(): from .modeling_flax_clip import ( FlaxCLIPModel, FlaxCLIPPreTrainedModel, FlaxCLIPTextModel, FlaxCLIPTextPreTrainedModel, FlaxCLIPVisionModel, FlaxCLIPVisionPreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)