# Copyright 2021 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_sentencepiece_available, is_speech_available, is_torch_available, ) _import_structure = { "configuration_speech_to_text_2": ["SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Speech2Text2Config"], "processing_speech_to_text_2": ["Speech2Text2Processor"], "tokenization_speech_to_text_2": ["Speech2Text2Tokenizer"], } try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_speech_to_text_2"] = [ "SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST", "Speech2Text2ForCausalLM", "Speech2Text2PreTrainedModel", ] if TYPE_CHECKING: from .configuration_speech_to_text_2 import SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP, Speech2Text2Config from .processing_speech_to_text_2 import Speech2Text2Processor from .tokenization_speech_to_text_2 import Speech2Text2Tokenizer try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_speech_to_text_2 import ( SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST, Speech2Text2ForCausalLM, Speech2Text2PreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)