FM / vision_encoder

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_vision_encoder_decoder.py	5073	0644	edit dl rm
convert_trocr_unilm_to_pytorch.py	10163	0644	edit dl rm
modeling_flax_vision_encoder_decoder.py	40971	0644	edit dl rm
modeling_tf_vision_encoder_decoder.py	37951	0644	edit dl rm
modeling_vision_encoder_decoder.py	28477	0644	edit dl rm
__init__.py	1932	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/vision_encoder_decoder/__init__.py (1932B)

# 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_torch_available

_import_structure = {
    "configuration_vision_encoder_decoder": ["VisionEncoderDecoderConfig"],
}

if is_torch_available():
    _import_structure["modeling_vision_encoder_decoder"] = ["VisionEncoderDecoderModel"]

if is_tf_available():
    _import_structure["modeling_tf_vision_encoder_decoder"] = ["TFVisionEncoderDecoderModel"]

if is_flax_available():
    _import_structure["modeling_flax_vision_encoder_decoder"] = ["FlaxVisionEncoderDecoderModel"]

if TYPE_CHECKING:
    from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig

if is_torch_available():
        from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

if is_tf_available():
        from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

if is_flax_available():
        from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
    import sys

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

cmd: