FM / bert_generation

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_bert_generation.py	5778	0644	edit dl rm
modeling_bert_generation.py	26974	0644	edit dl rm
tokenization_bert_generation.py	6695	0644	edit dl rm
__init__.py	1925	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/bert_generation/__init__.py (1925B)

# 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_sentencepiece_available, is_torch_available

_import_structure = {
    "configuration_bert_generation": ["BertGenerationConfig"],
}

if is_sentencepiece_available():
    _import_structure["tokenization_bert_generation"] = ["BertGenerationTokenizer"]

if is_torch_available():
    _import_structure["modeling_bert_generation"] = [
        "BertGenerationDecoder",
        "BertGenerationEncoder",
        "BertGenerationPreTrainedModel",
        "load_tf_weights_in_bert_generation",
    ]

if TYPE_CHECKING:
    from .configuration_bert_generation import BertGenerationConfig

if is_sentencepiece_available():
        from .tokenization_bert_generation import BertGenerationTokenizer

if is_torch_available():
        from .modeling_bert_generation import (
            BertGenerationDecoder,
            BertGenerationEncoder,
            BertGenerationPreTrainedModel,
            load_tf_weights_in_bert_generation,
        )

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_sentencepiece_available, is_torch_available _import_structure = { "configuration_bert_generation": ["BertGenerationConfig"], } if is_sentencepiece_available(): _import_structure["tokenization_bert_generation"] = ["BertGenerationTokenizer"] if is_torch_available(): _import_structure["modeling_bert_generation"] = [ "BertGenerationDecoder", "BertGenerationEncoder", "BertGenerationPreTrainedModel", "load_tf_weights_in_bert_generation", ] if TYPE_CHECKING: from .configuration_bert_generation import BertGenerationConfig if is_sentencepiece_available(): from .tokenization_bert_generation import BertGenerationTokenizer if is_torch_available(): from .modeling_bert_generation import ( BertGenerationDecoder, BertGenerationEncoder, BertGenerationPreTrainedModel, load_tf_weights_in_bert_generation, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)