FM / transfo

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_transfo_xl.py	7860	0644	edit dl rm
convert_transfo_xl_original_tf_checkpoint_to_pytorch.py	4888	0644	edit dl rm
modeling_tf_transfo_xl.py	46168	0644	edit dl rm
modeling_tf_transfo_xl_utilities.py	7577	0644	edit dl rm
modeling_transfo_xl.py	55711	0644	edit dl rm
modeling_transfo_xl_utilities.py	10678	0644	edit dl rm
tokenization_transfo_xl.py	30534	0644	edit dl rm
__init__.py	2825	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/transfo_xl/__init__.py (2825B)

# 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_tf_available, is_torch_available

_import_structure = {
    "configuration_transfo_xl": ["TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP", "TransfoXLConfig"],
    "tokenization_transfo_xl": ["TransfoXLCorpus", "TransfoXLTokenizer"],
}

if is_torch_available():
    _import_structure["modeling_transfo_xl"] = [
        "TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
        "AdaptiveEmbedding",
        "TransfoXLForSequenceClassification",
        "TransfoXLLMHeadModel",
        "TransfoXLModel",
        "TransfoXLPreTrainedModel",
        "load_tf_weights_in_transfo_xl",
    ]

if is_tf_available():
    _import_structure["modeling_tf_transfo_xl"] = [
        "TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
        "TFAdaptiveEmbedding",
        "TFTransfoXLForSequenceClassification",
        "TFTransfoXLLMHeadModel",
        "TFTransfoXLMainLayer",
        "TFTransfoXLModel",
        "TFTransfoXLPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_transfo_xl import TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP, TransfoXLConfig
    from .tokenization_transfo_xl import TransfoXLCorpus, TransfoXLTokenizer

if is_torch_available():
        from .modeling_transfo_xl import (
            TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            AdaptiveEmbedding,
            TransfoXLForSequenceClassification,
            TransfoXLLMHeadModel,
            TransfoXLModel,
            TransfoXLPreTrainedModel,
            load_tf_weights_in_transfo_xl,
        )

if is_tf_available():
        from .modeling_tf_transfo_xl import (
            TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFAdaptiveEmbedding,
            TFTransfoXLForSequenceClassification,
            TFTransfoXLLMHeadModel,
            TFTransfoXLMainLayer,
            TFTransfoXLModel,
            TFTransfoXLPreTrainedModel,
        )

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_tf_available, is_torch_available _import_structure = { "configuration_transfo_xl": ["TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP", "TransfoXLConfig"], "tokenization_transfo_xl": ["TransfoXLCorpus", "TransfoXLTokenizer"], } if is_torch_available(): _import_structure["modeling_transfo_xl"] = [ "TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST", "AdaptiveEmbedding", "TransfoXLForSequenceClassification", "TransfoXLLMHeadModel", "TransfoXLModel", "TransfoXLPreTrainedModel", "load_tf_weights_in_transfo_xl", ] if is_tf_available(): _import_structure["modeling_tf_transfo_xl"] = [ "TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST", "TFAdaptiveEmbedding", "TFTransfoXLForSequenceClassification", "TFTransfoXLLMHeadModel", "TFTransfoXLMainLayer", "TFTransfoXLModel", "TFTransfoXLPreTrainedModel", ] if TYPE_CHECKING: from .configuration_transfo_xl import TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP, TransfoXLConfig from .tokenization_transfo_xl import TransfoXLCorpus, TransfoXLTokenizer if is_torch_available(): from .modeling_transfo_xl import ( TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST, AdaptiveEmbedding, TransfoXLForSequenceClassification, TransfoXLLMHeadModel, TransfoXLModel, TransfoXLPreTrainedModel, load_tf_weights_in_transfo_xl, ) if is_tf_available(): from .modeling_tf_transfo_xl import ( TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST, TFAdaptiveEmbedding, TFTransfoXLForSequenceClassification, TFTransfoXLLMHeadModel, TFTransfoXLMainLayer, TFTransfoXLModel, TFTransfoXLPreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)