Instructions to use Shawon16/VideoMAE_4_CLASS_QUALITY_CHECK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shawon16/VideoMAE_4_CLASS_QUALITY_CHECK with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Shawon16/VideoMAE_4_CLASS_QUALITY_CHECK")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Shawon16/VideoMAE_4_CLASS_QUALITY_CHECK") model = AutoModelForVideoClassification.from_pretrained("Shawon16/VideoMAE_4_CLASS_QUALITY_CHECK") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
confusion_matrix_test.tiff
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confusion_matrix_train.tiff
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long_tail_vs_class_frequency_test.tiff
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long_tail_vs_class_frequency_train.tiff
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per_class_accuracy_test.tiff
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per_class_accuracy_train.tiff
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per_class_results_test.csv
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per_class_results_train.csv
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