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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_tf_available, is_tokenizers_available, is_torch_available | |
| _import_structure = { | |
| "configuration_convbert": ["CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvBertConfig"], | |
| "tokenization_convbert": ["ConvBertTokenizer"], | |
| } | |
| if is_tokenizers_available(): | |
| _import_structure["tokenization_convbert_fast"] = ["ConvBertTokenizerFast"] | |
| if is_torch_available(): | |
| _import_structure["modeling_convbert"] = [ | |
| "CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST", | |
| "ConvBertForMaskedLM", | |
| "ConvBertForMultipleChoice", | |
| "ConvBertForQuestionAnswering", | |
| "ConvBertForSequenceClassification", | |
| "ConvBertForTokenClassification", | |
| "ConvBertLayer", | |
| "ConvBertModel", | |
| "ConvBertPreTrainedModel", | |
| "load_tf_weights_in_convbert", | |
| ] | |
| if is_tf_available(): | |
| _import_structure["modeling_tf_convbert"] = [ | |
| "TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST", | |
| "TFConvBertForMaskedLM", | |
| "TFConvBertForMultipleChoice", | |
| "TFConvBertForQuestionAnswering", | |
| "TFConvBertForSequenceClassification", | |
| "TFConvBertForTokenClassification", | |
| "TFConvBertLayer", | |
| "TFConvBertModel", | |
| "TFConvBertPreTrainedModel", | |
| ] | |
| if TYPE_CHECKING: | |
| from .configuration_convbert import CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvBertConfig | |
| from .tokenization_convbert import ConvBertTokenizer | |
| if is_tokenizers_available(): | |
| from .tokenization_convbert_fast import ConvBertTokenizerFast | |
| if is_torch_available(): | |
| from .modeling_convbert import ( | |
| CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST, | |
| ConvBertForMaskedLM, | |
| ConvBertForMultipleChoice, | |
| ConvBertForQuestionAnswering, | |
| ConvBertForSequenceClassification, | |
| ConvBertForTokenClassification, | |
| ConvBertLayer, | |
| ConvBertModel, | |
| ConvBertPreTrainedModel, | |
| load_tf_weights_in_convbert, | |
| ) | |
| if is_tf_available(): | |
| from .modeling_tf_convbert import ( | |
| TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST, | |
| TFConvBertForMaskedLM, | |
| TFConvBertForMultipleChoice, | |
| TFConvBertForQuestionAnswering, | |
| TFConvBertForSequenceClassification, | |
| TFConvBertForTokenClassification, | |
| TFConvBertLayer, | |
| TFConvBertModel, | |
| TFConvBertPreTrainedModel, | |
| ) | |
| else: | |
| import sys | |
| sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure) | |