code: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_flax_available,
      is_sentencepiece_available,
      is_tf_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  __a   				=      {'''configuration_t5''': ['''T5_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''T5Config''', '''T5OnnxConfig''']}
  
  try:
    if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    __a   				=      ['''T5Tokenizer''']
  
  try:
    if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    __a   				=      ['''T5TokenizerFast''']
  
  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    __a   				=      [
        '''T5_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''T5EncoderModel''',
        '''T5ForConditionalGeneration''',
        '''T5Model''',
        '''T5PreTrainedModel''',
        '''load_tf_weights_in_t5''',
        '''T5ForQuestionAnswering''',
    ]
  
  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    __a   				=      [
        '''TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''TFT5EncoderModel''',
        '''TFT5ForConditionalGeneration''',
        '''TFT5Model''',
        '''TFT5PreTrainedModel''',
    ]
  
  try:
    if not is_flax_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    __a   				=      [
        '''FlaxT5EncoderModel''',
        '''FlaxT5ForConditionalGeneration''',
        '''FlaxT5Model''',
        '''FlaxT5PreTrainedModel''',
    ]
  
  
  if TYPE_CHECKING:
    from .configuration_ta import T5_PRETRAINED_CONFIG_ARCHIVE_MAP, TaConfig, TaOnnxConfig
  
    try:
      if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
      pass
    else:
      from .tokenization_ta import TaTokenizer
  
    try:
      if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
      pass
    else:
      from .tokenization_ta_fast import TaTokenizerFast
  
    try:
      if not is_torch_available():
        raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
      pass
    else:
      from .modeling_ta import (
          T5_PRETRAINED_MODEL_ARCHIVE_LIST,
          TaEncoderModel,
          TaForConditionalGeneration,
          TaForQuestionAnswering,
          TaModel,
          TaPreTrainedModel,
          load_tf_weights_in_ta,
      )
  
    try:
      if not is_tf_available():
        raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
      pass
    else:
      from .modeling_tf_ta import (
          TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFTaEncoderModel,
          TFTaForConditionalGeneration,
          TFTaModel,
          TFTaPreTrainedModel,
      )
  
    try:
      if not is_flax_available():
        raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
      pass
    else:
      from .modeling_flax_ta import (
          FlaxTaEncoderModel,
          FlaxTaForConditionalGeneration,
          FlaxTaModel,
          FlaxTaPreTrainedModel,
      )
  
  
  else:
    import sys
  
    __a   				=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
style_context: 
  
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      is_torch_available,
      is_transformers_available,
      is_transformers_version,
  )
  
  
  try:
    if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.27.0''')):
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    from ...utils.dummy_torch_and_transformers_objects import (
        AudioLDMPipeline,
    )
  else:
    from .pipeline_audioldm import AudioLDMPipeline
  
  