'''
    #################################################################################################################################################################################################
    # 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 DIFFUSERS_SLOW_IMPORT, OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_transformers_available, is_sapiens_transformers_version
_dummy_objects = {}
_import_structure = {}
try:
    if not (is_transformers_available() and is_torch_available() and is_sapiens_transformers_version('>=', '4.25.0')): raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
    _dummy_objects.update({'UnCLIPImageVariationPipeline': UnCLIPImageVariationPipeline, 'UnCLIPPipeline': UnCLIPPipeline})
else:
    _import_structure['pipeline_unclip'] = ['UnCLIPPipeline']
    _import_structure['pipeline_unclip_image_variation'] = ['UnCLIPImageVariationPipeline']
    _import_structure['text_proj'] = ['UnCLIPTextProjModel']
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
    try:
        if not (is_transformers_available() and is_torch_available() and is_sapiens_transformers_version('>=', '4.25.0')): raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable: from ...utils.dummy_torch_and_transformers_objects import *
    else:
        from .pipeline_unclip import UnCLIPPipeline
        from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
        from .text_proj import UnCLIPTextProjModel
else:
    import sys
    sys.modules[__name__] = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
    for name, value in _dummy_objects.items(): setattr(sys.modules[__name__], name, value)
'''
    #################################################################################################################################################################################################
    # 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.                                                                 #
    #################################################################################################################################################################################################
'''
