


'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase__    	=     {
    'configuration_albert': ['ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'AlbertConfig', 'AlbertOnnxConfig'],
}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__    	=     ['AlbertTokenizer']

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__    	=     ['AlbertTokenizerFast']

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__    	=     [
						    'ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'AlbertForMaskedLM',
						    'AlbertForMultipleChoice',
						    'AlbertForPreTraining',
						    'AlbertForQuestionAnswering',
						    'AlbertForSequenceClassification',
						    'AlbertForTokenClassification',
						    'AlbertModel',
						    'AlbertPreTrainedModel',
						    'load_tf_weights_in_albert',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__    	=     [
						    'TF_ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'TFAlbertForMaskedLM',
						    'TFAlbertForMultipleChoice',
						    'TFAlbertForPreTraining',
						    'TFAlbertForQuestionAnswering',
						    'TFAlbertForSequenceClassification',
						    'TFAlbertForTokenClassification',
						    'TFAlbertMainLayer',
						    'TFAlbertModel',
						    'TFAlbertPreTrainedModel',
						]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__    	=     [
						    'FlaxAlbertForMaskedLM',
						    'FlaxAlbertForMultipleChoice',
						    'FlaxAlbertForPreTraining',
						    'FlaxAlbertForQuestionAnswering',
						    'FlaxAlbertForSequenceClassification',
						    'FlaxAlbertForTokenClassification',
						    'FlaxAlbertModel',
						    'FlaxAlbertPreTrainedModel',
						]

if TYPE_CHECKING:
						from .configuration_albert import ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, AlbertConfig, AlbertOnnxConfig

						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_albert import AlbertTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_albert_fast import AlbertTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_albert import (
												    ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    AlbertForMaskedLM,
												    AlbertForMultipleChoice,
												    AlbertForPreTraining,
												    AlbertForQuestionAnswering,
												    AlbertForSequenceClassification,
												    AlbertForTokenClassification,
												    AlbertModel,
												    AlbertPreTrainedModel,
												    load_tf_weights_in_albert,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_albert import (
												    TF_ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFAlbertForMaskedLM,
												    TFAlbertForMultipleChoice,
												    TFAlbertForPreTraining,
												    TFAlbertForQuestionAnswering,
												    TFAlbertForSequenceClassification,
												    TFAlbertForTokenClassification,
												    TFAlbertMainLayer,
												    TFAlbertModel,
												    TFAlbertPreTrainedModel,
												)

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_albert import (
												    FlaxAlbertForMaskedLM,
												    FlaxAlbertForMultipleChoice,
												    FlaxAlbertForPreTraining,
												    FlaxAlbertForQuestionAnswering,
												    FlaxAlbertForSequenceClassification,
												    FlaxAlbertForTokenClassification,
												    FlaxAlbertModel,
												    FlaxAlbertPreTrainedModel,
												)
else:
						import sys

						lowerCamelCase__    	=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)







'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase__    	=     {
    'configuration_instructblip': [
        'INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'InstructBlipConfig',
        'InstructBlipQFormerConfig',
        'InstructBlipVisionConfig',
    ],
    'processing_instructblip': ['InstructBlipProcessor'],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__    	=     [
						    'INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'InstructBlipQFormerModel',
						    'InstructBlipPreTrainedModel',
						    'InstructBlipForConditionalGeneration',
						    'InstructBlipVisionModel',
						]

if TYPE_CHECKING:
						from .configuration_instructblip import (
						    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    InstructBlipConfig,
						    InstructBlipQFormerConfig,
						    InstructBlipVisionConfig,
						)
						from .processing_instructblip import InstructBlipProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_instructblip import (
												    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
												    InstructBlipForConditionalGeneration,
												    InstructBlipPreTrainedModel,
												    InstructBlipQFormerModel,
												    InstructBlipVisionModel,
												)

else:
						import sys

						lowerCamelCase__    	=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



