mirror of
https://github.com/modelscope/modelscope.git
synced 2026-09-02 12:09:36 +02:00
147 lines
6.9 KiB
Python
147 lines
6.9 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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from typing import TYPE_CHECKING
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from modelscope.utils.import_utils import (LazyImportModule,
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is_transformers_available)
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if TYPE_CHECKING:
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from .exporters import Exporter, TfModelExporter, TorchModelExporter
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from .hub.api import HubApi
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from .hub.check_model import check_local_model_is_latest, check_model_is_id
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from .hub.push_to_hub import push_to_hub, push_to_hub_async
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from .hub.snapshot_download import snapshot_download, dataset_snapshot_download
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from .hub.file_download import model_file_download, dataset_file_download
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from .metrics import (
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AccuracyMetric, AudioNoiseMetric, BleuMetric, ImageColorEnhanceMetric,
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ImageColorizationMetric, ImageDenoiseMetric, ImageInpaintingMetric,
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ImageInstanceSegmentationCOCOMetric, ImagePortraitEnhancementMetric,
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ImageQualityAssessmentDegradationMetric,
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ImageQualityAssessmentMosMetric, LossMetric, Metric,
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MovieSceneSegmentationMetric, OCRRecognitionMetric, PplMetric,
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ReferringVideoObjectSegmentationMetric, SequenceClassificationMetric,
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TextGenerationMetric, TextRankingMetric, TokenClassificationMetric,
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VideoFrameInterpolationMetric, VideoStabilizationMetric,
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VideoSummarizationMetric, VideoSuperResolutionMetric,
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task_default_metrics)
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from .models import Model, TorchModel
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from .msdatasets import MsDataset
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from .pipelines import Pipeline, pipeline
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from .preprocessors import Preprocessor
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from .trainers import (EpochBasedTrainer, Hook, Priority, TrainingArgs,
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build_dataset_from_file)
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from .utils.constant import Tasks
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if is_transformers_available():
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from .utils.hf_util import (
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AutoModel, AutoProcessor, AutoFeatureExtractor, GenerationConfig,
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AutoConfig, GPTQConfig, AwqConfig, BitsAndBytesConfig,
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AutoModelForCausalLM, AutoModelForSeq2SeqLM,
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AutoModelForVision2Seq, AutoModelForSequenceClassification,
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AutoModelForTokenClassification, AutoModelForImageClassification,
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AutoModelForImageTextToText,
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AutoModelForZeroShotImageClassification,
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AutoModelForKeypointDetection,
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AutoModelForDocumentQuestionAnswering,
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AutoModelForSemanticSegmentation,
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AutoModelForUniversalSegmentation,
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AutoModelForInstanceSegmentation, AutoModelForObjectDetection,
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AutoModelForZeroShotObjectDetection,
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AutoModelForAudioClassification, AutoModelForSpeechSeq2Seq,
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AutoModelForMaskedImageModeling,
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AutoModelForVisualQuestionAnswering,
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AutoModelForTableQuestionAnswering, AutoModelForImageToImage,
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AutoModelForImageSegmentation, AutoModelForQuestionAnswering,
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AutoModelForMaskedLM, AutoTokenizer, AutoModelForMaskGeneration,
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AutoModelForPreTraining, AutoModelForTextEncoding,
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AutoImageProcessor, BatchFeature, Qwen2VLForConditionalGeneration,
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T5EncoderModel, hf_pipeline)
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else:
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print(
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'transformer is not installed, please install it if you want to use related modules'
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)
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from .utils.hub import create_model_if_not_exist, read_config
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from .utils.logger import get_logger
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from .version import __release_datetime__, __version__
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else:
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_import_structure = {
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'version': ['__release_datetime__', '__version__'],
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'trainers': [
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'EpochBasedTrainer', 'TrainingArgs', 'Hook', 'Priority',
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'build_dataset_from_file'
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],
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'exporters': [
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'Exporter',
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'TfModelExporter',
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'TorchModelExporter',
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],
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'hub.api': ['HubApi'],
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'hub.snapshot_download':
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['snapshot_download', 'dataset_snapshot_download'],
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'hub.file_download': ['model_file_download', 'dataset_file_download'],
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'hub.push_to_hub': ['push_to_hub', 'push_to_hub_async'],
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'hub.check_model':
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['check_model_is_id', 'check_local_model_is_latest'],
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'metrics': [
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'AudioNoiseMetric', 'Metric', 'task_default_metrics',
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'ImageColorEnhanceMetric', 'ImageDenoiseMetric',
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'ImageInstanceSegmentationCOCOMetric',
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'ImagePortraitEnhancementMetric', 'SequenceClassificationMetric',
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'TextGenerationMetric', 'TokenClassificationMetric',
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'VideoSummarizationMetric', 'MovieSceneSegmentationMetric',
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'AccuracyMetric', 'BleuMetric', 'ImageInpaintingMetric',
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'ReferringVideoObjectSegmentationMetric',
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'VideoFrameInterpolationMetric', 'VideoStabilizationMetric',
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'VideoSuperResolutionMetric', 'PplMetric',
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'ImageQualityAssessmentDegradationMetric',
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'ImageQualityAssessmentMosMetric', 'TextRankingMetric',
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'LossMetric', 'ImageColorizationMetric', 'OCRRecognitionMetric'
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],
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'models': ['Model', 'TorchModel'],
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'preprocessors': ['Preprocessor'],
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'pipelines': ['Pipeline', 'pipeline'],
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'utils.hub': ['read_config', 'create_model_if_not_exist'],
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'utils.logger': ['get_logger'],
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'utils.constant': ['Tasks'],
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'msdatasets': ['MsDataset']
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}
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if is_transformers_available():
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_import_structure['utils.hf_util'] = [
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'AutoModel', 'AutoProcessor', 'AutoFeatureExtractor',
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'GenerationConfig', 'AutoConfig', 'GPTQConfig', 'AwqConfig',
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'BitsAndBytesConfig', 'AutoModelForCausalLM',
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'AutoModelForSeq2SeqLM', 'AutoModelForVision2Seq',
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'AutoModelForSequenceClassification',
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'AutoModelForTokenClassification',
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'AutoModelForImageClassification', 'AutoModelForImageToImage',
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'AutoModelForImageTextToText',
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'AutoModelForZeroShotImageClassification',
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'AutoModelForKeypointDetection',
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'AutoModelForDocumentQuestionAnswering',
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'AutoModelForSemanticSegmentation',
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'AutoModelForUniversalSegmentation',
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'AutoModelForInstanceSegmentation', 'AutoModelForObjectDetection',
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'AutoModelForZeroShotObjectDetection',
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'AutoModelForAudioClassification', 'AutoModelForSpeechSeq2Seq',
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'AutoModelForMaskedImageModeling',
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'AutoModelForVisualQuestionAnswering',
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'AutoModelForTableQuestionAnswering',
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'AutoModelForImageSegmentation', 'AutoModelForQuestionAnswering',
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'AutoModelForMaskedLM', 'AutoTokenizer',
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'AutoModelForMaskGeneration', 'AutoModelForPreTraining',
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'AutoModelForTextEncoding', 'AutoImageProcessor', 'BatchFeature',
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'Qwen2VLForConditionalGeneration', 'T5EncoderModel',
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'hf_pipeline'
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]
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import sys
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sys.modules[__name__] = LazyImportModule(
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__name__,
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globals()['__file__'],
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_import_structure,
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module_spec=__spec__,
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extra_objects={},
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)
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