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| # 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 ...file_utils import _LazyModule, is_flax_available, is_tf_available, is_tokenizers_available, is_torch_available | |
| _import_structure = { | |
| "configuration_mpnet": ["MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "MPNetConfig"], | |
| "tokenization_mpnet": ["MPNetTokenizer"], | |
| } | |
| if is_tokenizers_available(): | |
| _import_structure["tokenization_mpnet_fast"] = ["MPNetTokenizerFast"] | |
| if is_torch_available(): | |
| _import_structure["modeling_mpnet"] = [ | |
| "MPNET_PRETRAINED_MODEL_ARCHIVE_LIST", | |
| "MPNetForMaskedLM", | |
| "MPNetForMultipleChoice", | |
| "MPNetForQuestionAnswering", | |
| "MPNetForSequenceClassification", | |
| "MPNetForTokenClassification", | |
| "MPNetLayer", | |
| "MPNetModel", | |
| "MPNetPreTrainedModel", | |
| ] | |
| if is_tf_available(): | |
| _import_structure["modeling_tf_mpnet"] = [ | |
| "TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST", | |
| "TFMPNetEmbeddings", | |
| "TFMPNetForMaskedLM", | |
| "TFMPNetForMultipleChoice", | |
| "TFMPNetForQuestionAnswering", | |
| "TFMPNetForSequenceClassification", | |
| "TFMPNetForTokenClassification", | |
| "TFMPNetMainLayer", | |
| "TFMPNetModel", | |
| "TFMPNetPreTrainedModel", | |
| ] | |
| if TYPE_CHECKING: | |
| from .configuration_mpnet import MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP, MPNetConfig | |
| from .tokenization_mpnet import MPNetTokenizer | |
| if is_tokenizers_available(): | |
| from .tokenization_mpnet_fast import MPNetTokenizerFast | |
| if is_torch_available(): | |
| from .modeling_mpnet import ( | |
| MPNET_PRETRAINED_MODEL_ARCHIVE_LIST, | |
| MPNetForMaskedLM, | |
| MPNetForMultipleChoice, | |
| MPNetForQuestionAnswering, | |
| MPNetForSequenceClassification, | |
| MPNetForTokenClassification, | |
| MPNetLayer, | |
| MPNetModel, | |
| MPNetPreTrainedModel, | |
| ) | |
| if is_tf_available(): | |
| from .modeling_tf_mpnet import ( | |
| TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST, | |
| TFMPNetEmbeddings, | |
| TFMPNetForMaskedLM, | |
| TFMPNetForMultipleChoice, | |
| TFMPNetForQuestionAnswering, | |
| TFMPNetForSequenceClassification, | |
| TFMPNetForTokenClassification, | |
| TFMPNetMainLayer, | |
| TFMPNetModel, | |
| TFMPNetPreTrainedModel, | |
| ) | |
| else: | |
| import sys | |
| sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure) | |