# Copyright 2022 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 OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available _import_structure = {"configuration_yoso": ["YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP", "YosoConfig"]} try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_yoso"] = [ "YOSO_PRETRAINED_MODEL_ARCHIVE_LIST", "YosoForMaskedLM", "YosoForMultipleChoice", "YosoForQuestionAnswering", "YosoForSequenceClassification", "YosoForTokenClassification", "YosoLayer", "YosoModel", "YosoPreTrainedModel", ] if TYPE_CHECKING: from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_yoso import ( YOSO_PRETRAINED_MODEL_ARCHIVE_LIST, YosoForMaskedLM, YosoForMultipleChoice, YosoForQuestionAnswering, YosoForSequenceClassification, YosoForTokenClassification, YosoLayer, YosoModel, YosoPreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)