



'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase						:		int						      = {'''configuration_detr''': ['''DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DetrConfig''', '''DetrOnnxConfig''']}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase						:		Union[str, Any]						      = ['''DetrFeatureExtractor''']
	lowerCAmelCase						:		Union[str, Any]						      = ['''DetrImageProcessor''']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase						:		List[Any]						      = [
	    '''DETR_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''DetrForObjectDetection''',
	    '''DetrForSegmentation''',
	    '''DetrModel''',
	    '''DetrPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .feature_extraction_detr import DetrFeatureExtractor
		from .image_processing_detr import DetrImageProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_detr import (
		    DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
		    DetrForObjectDetection,
		    DetrForSegmentation,
		    DetrModel,
		    DetrPreTrainedModel,
		)

else:
	import sys

	lowerCAmelCase						:		str						      = _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




'''simple docstring'''



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

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