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google
/
vivit-b-16x2-kinetics400

Video Classification
Transformers
PyTorch
vivit
vision
Model card Files Files and versions
xet
Community
5

Instructions to use google/vivit-b-16x2-kinetics400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use google/vivit-b-16x2-kinetics400 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="google/vivit-b-16x2-kinetics400")
    # Load model directly
    from transformers import AutoImageProcessor, ViViTForVideoClassification
    
    processor = AutoImageProcessor.from_pretrained("google/vivit-b-16x2-kinetics400")
    model = ViViTForVideoClassification.from_pretrained("google/vivit-b-16x2-kinetics400")
  • Notebooks
  • Google Colab
  • Kaggle
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  • Code of Conduct
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QORA-Vision (Video) - Native Rust Video Classifier based on ViViT

#5 opened 3 months ago by
drdraq

why vivit in huggingface has no factorized encoders and so on?

1
#4 opened almost 2 years ago by
tsaganshosg

Adding `safetensors` variant of this model

#3 opened about 2 years ago by
SFconvertbot

can't find the model in transformers

1
#1 opened about 3 years ago by
HLLL
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