FM / qdqbert

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_qdqbert.py	5762	0644	edit dl rm
modeling_qdqbert.py	74374	0644	edit dl rm
__init__.py	2300	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/qdqbert/__init__.py (2300B)

# 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 NVIDIA Corporation and 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_torch_available

_import_structure = {
    "configuration_qdqbert": ["QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "QDQBertConfig"],
}

if is_torch_available():
    _import_structure["modeling_qdqbert"] = [
        "QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "QDQBertForMaskedLM",
        "QDQBertForMultipleChoice",
        "QDQBertForNextSentencePrediction",
        "QDQBertForQuestionAnswering",
        "QDQBertForSequenceClassification",
        "QDQBertForTokenClassification",
        "QDQBertLayer",
        "QDQBertLMHeadModel",
        "QDQBertModel",
        "QDQBertPreTrainedModel",
        "load_tf_weights_in_qdqbert",
    ]

if TYPE_CHECKING:
    from .configuration_qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig

if is_torch_available():
        from .modeling_qdqbert import (
            QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            QDQBertForMaskedLM,
            QDQBertForMultipleChoice,
            QDQBertForNextSentencePrediction,
            QDQBertForQuestionAnswering,
            QDQBertForSequenceClassification,
            QDQBertForTokenClassification,
            QDQBertLayer,
            QDQBertLMHeadModel,
            QDQBertModel,
            QDQBertPreTrainedModel,
            load_tf_weights_in_qdqbert,
        )

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 NVIDIA Corporation and 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_torch_available _import_structure = { "configuration_qdqbert": ["QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "QDQBertConfig"], } if is_torch_available(): _import_structure["modeling_qdqbert"] = [ "QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST", "QDQBertForMaskedLM", "QDQBertForMultipleChoice", "QDQBertForNextSentencePrediction", "QDQBertForQuestionAnswering", "QDQBertForSequenceClassification", "QDQBertForTokenClassification", "QDQBertLayer", "QDQBertLMHeadModel", "QDQBertModel", "QDQBertPreTrainedModel", "load_tf_weights_in_qdqbert", ] if TYPE_CHECKING: from .configuration_qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig if is_torch_available(): from .modeling_qdqbert import ( QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST, QDQBertForMaskedLM, QDQBertForMultipleChoice, QDQBertForNextSentencePrediction, QDQBertForQuestionAnswering, QDQBertForSequenceClassification, QDQBertForTokenClassification, QDQBertLayer, QDQBertLMHeadModel, QDQBertModel, QDQBertPreTrainedModel, load_tf_weights_in_qdqbert, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)