"""
    #################################################################################################################################################################################################
    # 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, is_vision_available)
_import_structure = {'configuration_owlv2': ['Owlv2Config', 'Owlv2TextConfig', 'Owlv2VisionConfig'], 'processing_owlv2': ['Owlv2Processor']}
try:
    if not is_vision_available(): raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable: pass
else: _import_structure["image_processing_owlv2"] = ["Owlv2ImageProcessor"]
try:
    if not is_torch_available(): raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable: pass
else: _import_structure["modeling_owlv2"] = ["Owlv2Model", "Owlv2PreTrainedModel", "Owlv2TextModel", "Owlv2VisionModel", "Owlv2ForObjectDetection"]
if TYPE_CHECKING:
    from .configuration_owlv2 import (Owlv2Config, Owlv2TextConfig, Owlv2VisionConfig)
    from .processing_owlv2 import Owlv2Processor
    try:
        if not is_vision_available(): raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable: pass
    else: from .image_processing_owlv2 import Owlv2ImageProcessor
    try:
        if not is_torch_available(): raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable: pass
    else: from .modeling_owlv2 import (Owlv2ForObjectDetection, Owlv2Model, Owlv2PreTrainedModel, Owlv2TextModel, Owlv2VisionModel)
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.                                                                 #
    #################################################################################################################################################################################################
"""
