FM / layoutlmv2

/usr/local/lib/python3.6/site-packages/transformers/models/layoutlmv2/

/usr/local/lib/python3.6/site-packages/transformers/models/layoutlmv2

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_layoutlmv2.py	11224	0644	edit dl rm
feature_extraction_layoutlmv2.py	9827	0644	edit dl rm
modeling_layoutlmv2.py	58513	0644	edit dl rm
processing_layoutlmv2.py	6171	0644	edit dl rm
tokenization_layoutlmv2.py	68128	0644	edit dl rm
tokenization_layoutlmv2_fast.py	37857	0644	edit dl rm
__init__.py	2722	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/layoutlmv2/__init__.py (2722B)

# 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_tokenizers_available, is_torch_available, is_vision_available

_import_structure = {
    "configuration_layoutlmv2": ["LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMv2Config"],
    "tokenization_layoutlmv2": ["LayoutLMv2Tokenizer"],
}

if is_tokenizers_available():
    _import_structure["tokenization_layoutlmv2_fast"] = ["LayoutLMv2TokenizerFast"]

if is_vision_available():
    _import_structure["feature_extraction_layoutlmv2"] = ["LayoutLMv2FeatureExtractor"]
    _import_structure["processing_layoutlmv2"] = ["LayoutLMv2Processor"]

if is_torch_available():
    _import_structure["modeling_layoutlmv2"] = [
        "LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST",
        "LayoutLMv2ForQuestionAnswering",
        "LayoutLMv2ForSequenceClassification",
        "LayoutLMv2ForTokenClassification",
        "LayoutLMv2Layer",
        "LayoutLMv2Model",
        "LayoutLMv2PreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_layoutlmv2 import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMv2Config
    from .tokenization_layoutlmv2 import LayoutLMv2Tokenizer

if is_tokenizers_available():
        from .tokenization_layoutlmv2_fast import LayoutLMv2TokenizerFast

if is_vision_available():
        from .feature_extraction_layoutlmv2 import LayoutLMv2FeatureExtractor
        from .processing_layoutlmv2 import LayoutLMv2Processor

if is_torch_available():
        from .modeling_layoutlmv2 import (
            LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMv2ForQuestionAnswering,
            LayoutLMv2ForSequenceClassification,
            LayoutLMv2ForTokenClassification,
            LayoutLMv2Layer,
            LayoutLMv2Model,
            LayoutLMv2PreTrainedModel,
        )
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_tokenizers_available, is_torch_available, is_vision_available _import_structure = { "configuration_layoutlmv2": ["LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMv2Config"], "tokenization_layoutlmv2": ["LayoutLMv2Tokenizer"], } if is_tokenizers_available(): _import_structure["tokenization_layoutlmv2_fast"] = ["LayoutLMv2TokenizerFast"] if is_vision_available(): _import_structure["feature_extraction_layoutlmv2"] = ["LayoutLMv2FeatureExtractor"] _import_structure["processing_layoutlmv2"] = ["LayoutLMv2Processor"] if is_torch_available(): _import_structure["modeling_layoutlmv2"] = [ "LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST", "LayoutLMv2ForQuestionAnswering", "LayoutLMv2ForSequenceClassification", "LayoutLMv2ForTokenClassification", "LayoutLMv2Layer", "LayoutLMv2Model", "LayoutLMv2PreTrainedModel", ] if TYPE_CHECKING: from .configuration_layoutlmv2 import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMv2Config from .tokenization_layoutlmv2 import LayoutLMv2Tokenizer if is_tokenizers_available(): from .tokenization_layoutlmv2_fast import LayoutLMv2TokenizerFast if is_vision_available(): from .feature_extraction_layoutlmv2 import LayoutLMv2FeatureExtractor from .processing_layoutlmv2 import LayoutLMv2Processor if is_torch_available(): from .modeling_layoutlmv2 import ( LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST, LayoutLMv2ForQuestionAnswering, LayoutLMv2ForSequenceClassification, LayoutLMv2ForTokenClassification, LayoutLMv2Layer, LayoutLMv2Model, LayoutLMv2PreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)