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ManuD
/
videomae-base-finetuned-dfl_clips

Video Classification
Transformers
PyTorch
TensorBoard
videomae
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use ManuD/videomae-base-finetuned-dfl_clips with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ManuD/videomae-base-finetuned-dfl_clips with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="ManuD/videomae-base-finetuned-dfl_clips")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForVideoClassification
    
    processor = AutoImageProcessor.from_pretrained("ManuD/videomae-base-finetuned-dfl_clips")
    model = AutoModelForVideoClassification.from_pretrained("ManuD/videomae-base-finetuned-dfl_clips")
  • Notebooks
  • Google Colab
  • Kaggle
videomae-base-finetuned-dfl_clips
345 MB
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  • 1 contributor
History: 5 commits
ManuD's picture
ManuD
update model card README.md
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  • .gitattributes
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  • .gitignore
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    Training in progress, epoch 0 over 3 years ago
  • README.md
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  • config.json
    1.02 kB
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  • preprocessor_config.json
    471 Bytes
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  • pytorch_model.bin
    345 MB
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  • training_args.bin
    3.45 kB
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