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galilai-group
/
LeVJEPA-VideoMix-Large

Image Feature Extraction
Transformers
Safetensors
levjepa
feature-extraction
video
self-supervised
jepa
vision-transformer
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use galilai-group/LeVJEPA-VideoMix-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use galilai-group/LeVJEPA-VideoMix-Large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="galilai-group/LeVJEPA-VideoMix-Large", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("galilai-group/LeVJEPA-VideoMix-Large", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LeVJEPA-VideoMix-Large
1.21 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
lukaskuhn's picture
lukaskuhn
Update README.md
e831a03 verified 5 days ago
  • .gitattributes
    1.52 kB
    initial commit 5 days ago
  • README.md
    3.23 kB
    Update README.md 5 days ago
  • config.json
    576 Bytes
    LeVJEPA-VideoMix-Large: ViT-L video encoder, EMA weights + modeling code 5 days ago
  • configuration_levjepa.py
    1.58 kB
    LeVJEPA-VideoMix-Large: ViT-L video encoder, EMA weights + modeling code 5 days ago
  • model.safetensors
    1.21 GB
    xet
    Replace weights: ep128 + 13-epoch 1-sqrt leg (in1k + SSv2-upweighted mixture) 5 days ago
  • modeling_levjepa.py
    35.9 kB
    LeVJEPA-VideoMix-Large: ViT-L video encoder, EMA weights + modeling code 5 days ago