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pjangid
/
ft-videomae-ucf101

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use pjangid/ft-videomae-ucf101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pjangid/ft-videomae-ucf101 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="pjangid/ft-videomae-ucf101")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForVideoClassification
    
    processor = AutoImageProcessor.from_pretrained("pjangid/ft-videomae-ucf101")
    model = AutoModelForVideoClassification.from_pretrained("pjangid/ft-videomae-ucf101")
  • Notebooks
  • Google Colab
  • Kaggle
ft-videomae-ucf101
345 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
pjangid's picture
pjangid
End of training
63ea840 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.52 kB
    End of training about 2 years ago
  • config.json
    1.35 kB
    End of training about 2 years ago
  • model.safetensors
    345 MB
    xet
    End of training about 2 years ago
  • preprocessor_config.json
    471 Bytes
    Upload processor about 2 years ago
  • training_args.bin
    4.6 kB
    xet
    End of training about 2 years ago