






'''simple docstring'''
a_					=	'\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

a_					=	[{'type': 'code', 'content': INSTALL_CONTENT}]
a_					=	{
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}







'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_					=	{
    'configuration_instructblip': [
        'INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'InstructBlipConfig',
        'InstructBlipQFormerConfig',
        'InstructBlipVisionConfig',
    ],
    'processing_instructblip': ['InstructBlipProcessor'],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a_					=	[
      'INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
      'InstructBlipQFormerModel',
      'InstructBlipPreTrainedModel',
      'InstructBlipForConditionalGeneration',
      'InstructBlipVisionModel',
  ]

if TYPE_CHECKING:
  from .configuration_instructblip import (
      INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
      InstructBlipConfig,
      InstructBlipQFormerConfig,
      InstructBlipVisionConfig,
  )
  from .processing_instructblip import InstructBlipProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_instructblip import (
        INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
        InstructBlipForConditionalGeneration,
        InstructBlipPreTrainedModel,
        InstructBlipQFormerModel,
        InstructBlipVisionModel,
    )

else:
  import sys

  a_					=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)