"""
    #################################################################################################################################################################################################
    # This code library is an adaptation of the original Transformers and was designed, developed and programmed by Sapiens Technology®.                                                            #
    # Any alteration and/or disclosure of this code without prior authorization is strictly prohibited and is subject to legal action that will be forwarded by the Sapiens Technology® legal team. #
    # This set of algorithms aims to download, train, fine-tune and/or infer large language models from various sources and slopes.                                                                 #
    #################################################################################################################################################################################################
"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
_import_structure = {'configuration_blip_2': ['Blip2Config', 'Blip2QFormerConfig', 'Blip2VisionConfig'], 'processing_blip_2': ['Blip2Processor']}
try:
    if not is_torch_available(): raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable: pass
else:
    _import_structure["modeling_blip_2"] = ["Blip2Model", "Blip2VisionModelWithProjection", "Blip2QFormerModel", "Blip2PreTrainedModel", "Blip2ForConditionalGeneration",
    "Blip2ForImageTextRetrieval", "Blip2VisionModel", "Blip2TextModelWithProjection"]
if TYPE_CHECKING:
    from .configuration_blip_2 import (Blip2Config, Blip2QFormerConfig, Blip2VisionConfig)
    from .processing_blip_2 import Blip2Processor
    try:
        if not is_torch_available(): raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable: pass
    else: from .modeling_blip_2 import (Blip2ForConditionalGeneration, Blip2ForImageTextRetrieval, Blip2Model, Blip2PreTrainedModel, Blip2QFormerModel, Blip2TextModelWithProjection, Blip2VisionModel, Blip2VisionModelWithProjection)
else:
    import sys
    sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
"""
    #################################################################################################################################################################################################
    # This code library is an adaptation of the original Transformers and was designed, developed and programmed by Sapiens Technology®.                                                            #
    # Any alteration and/or disclosure of this code without prior authorization is strictly prohibited and is subject to legal action that will be forwarded by the Sapiens Technology® legal team. #
    # This set of algorithms aims to download, train, fine-tune and/or infer large language models from various sources and slopes.                                                                 #
    #################################################################################################################################################################################################
"""
