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facebook
/
timesformer-base-finetuned-k400

Video Classification
Transformers
PyTorch
timesformer
vision
Model card Files Files and versions
xet
Community
6

Instructions to use facebook/timesformer-base-finetuned-k400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/timesformer-base-finetuned-k400 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="facebook/timesformer-base-finetuned-k400")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForVideoClassification
    
    processor = AutoImageProcessor.from_pretrained("facebook/timesformer-base-finetuned-k400")
    model = AutoModelForVideoClassification.from_pretrained("facebook/timesformer-base-finetuned-k400")
  • Notebooks
  • Google Colab
  • Kaggle
timesformer-base-finetuned-k400
486 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 11 commits
nielsr's picture
nielsr HF Staff
Update README.md
8aaf40e over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • README.md
    1.93 kB
    Update README.md over 3 years ago
  • config.json
    22.7 kB
    update weight and config to reflect latest changes from the pr (#1) over 3 years ago
  • preprocessor_config.json
    412 Bytes
    update processor params (#3) over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    486 MB
    xet
    update weight and config to reflect latest changes from the pr (#1) over 3 years ago