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Shawon16
/
VideoMAE_WLASL_250_epochs

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

Instructions to use Shawon16/VideoMAE_WLASL_250_epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Shawon16/VideoMAE_WLASL_250_epochs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="Shawon16/VideoMAE_WLASL_250_epochs")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForVideoClassification
    
    processor = AutoImageProcessor.from_pretrained("Shawon16/VideoMAE_WLASL_250_epochs")
    model = AutoModelForVideoClassification.from_pretrained("Shawon16/VideoMAE_WLASL_250_epochs", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
VideoMAE_WLASL_250_epochs
351 MB
Ctrl+K
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  • 1 contributor
History: 26 commits
Shawon16's picture
Shawon16
End of training
efc8165 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.26 kB
    Model save over 1 year ago
  • all_results.json
    278 Bytes
    End of training over 1 year ago
  • config.json
    82.7 kB
    Training in progress, epoch 0 over 1 year ago
  • model.safetensors
    351 MB
    xet
    Model save over 1 year ago
  • preprocessor_config.json
    415 Bytes
    Training in progress, epoch 0 over 1 year ago
  • test_results.json
    278 Bytes
    End of training over 1 year ago
  • trainer_state.json
    157 kB
    End of training over 1 year ago
  • training_args.bin
    5.3 kB
    xet
    Training in progress, epoch 0 over 1 year ago