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matchacams
/
nystagmus_video_classification

Video Classification
Transformers
PyTorch
videomae
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use matchacams/nystagmus_video_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="matchacams/nystagmus_video_classification")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForVideoClassification
    
    processor = AutoImageProcessor.from_pretrained("matchacams/nystagmus_video_classification")
    model = AutoModelForVideoClassification.from_pretrained("matchacams/nystagmus_video_classification")
  • Notebooks
  • Google Colab
  • Kaggle
nystagmus_video_classification
345 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
matchacams's picture
matchacams
Upload 3 files
db9725e over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    28 Bytes
    initial commit over 2 years ago
  • config.json
    935 Bytes
    Upload 3 files over 2 years ago
  • preprocessor_config.json
    471 Bytes
    Upload 3 files over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    345 MB
    xet
    Upload 3 files over 2 years ago