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HarshitSutrave
/
Anomaly-Detector

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

Instructions to use HarshitSutrave/Anomaly-Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HarshitSutrave/Anomaly-Detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="HarshitSutrave/Anomaly-Detector")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForVideoClassification
    
    processor = AutoImageProcessor.from_pretrained("HarshitSutrave/Anomaly-Detector")
    model = AutoModelForVideoClassification.from_pretrained("HarshitSutrave/Anomaly-Detector")
  • Notebooks
  • Google Colab
  • Kaggle
Anomaly-Detector
1.22 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
HarshitSutrave's picture
HarshitSutrave
Upload processor
f264621 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload VideoMAEForVideoClassification over 1 year ago
  • config.json
    824 Bytes
    Upload VideoMAEForVideoClassification over 1 year ago
  • model.safetensors
    1.22 GB
    xet
    Upload VideoMAEForVideoClassification over 1 year ago
  • preprocessor_config.json
    415 Bytes
    Upload processor over 1 year ago