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google
/
vivit-b-16x2

Video Classification
Transformers
PyTorch
vivit
vision
Model card Files Files and versions
xet
Community
2

Instructions to use google/vivit-b-16x2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use google/vivit-b-16x2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="google/vivit-b-16x2")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForVideoClassification
    
    processor = AutoImageProcessor.from_pretrained("google/vivit-b-16x2")
    model = AutoModelForVideoClassification.from_pretrained("google/vivit-b-16x2")
  • Notebooks
  • Google Colab
  • Kaggle
vivit-b-16x2
356 MB
Ctrl+K
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  • 3 contributors
History: 5 commits
amyeroberts's picture
amyeroberts
Update preprocessor_config.json (#1)
fc34105 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    1.41 kB
    Create README.md almost 3 years ago
  • config.json
    22.7 kB
    Update model using new conversion script over 3 years ago
  • preprocessor_config.json
    430 Bytes
    Update preprocessor_config.json (#1) almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    356 MB
    xet
    Update model using new conversion script over 3 years ago