'''
    #################################################################################################################################################################################################
    # 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 dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
try:
    if not (is_transformers_available() and is_torch_available()): raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable: from ...utils.dummy_torch_and_transformers_objects import ShapEPipeline
else:
    from .blip_image_processing import BlipImageProcessor
    from .modeling_blip2 import Blip2QFormerModel
    from .modeling_ctx_clip import ContextCLIPTextModel
    from .pipeline_blip_diffusion import BlipDiffusionPipeline
'''
    #################################################################################################################################################################################################
    # 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.                                                                 #
    #################################################################################################################################################################################################
'''
