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mnmly
/
vjepa2.1-vit-base-384

Feature Extraction
MLX
Safetensors
vjepa2_1
mlx-swift
apple-silicon
video
self-supervised
v-jepa
Model card Files Files and versions
xet
Community

Instructions to use mnmly/vjepa2.1-vit-base-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use mnmly/vjepa2.1-vit-base-384 with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    hf download mnmly/vjepa2.1-vit-base-384 --local-dir vjepa2.1-vit-base-384
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
vjepa2.1-vit-base-384
658 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
mnmly's picture
mnmly
Add the V-JEPA 2.1 predictor (fp16); update card and config
ee3ee8b verified 7 days ago
  • .gitattributes
    1.52 kB
    initial commit 8 days ago
  • LICENSE
    1.09 kB
    Add model card, MIT license, config and fp16 weights 8 days ago
  • README.md
    6.53 kB
    Add the V-JEPA 2.1 predictor (fp16); update card and config 7 days ago
  • config.json
    1.78 kB
    Add the V-JEPA 2.1 predictor (fp16); update card and config 7 days ago
  • model-fp16.safetensors
    174 MB
    xet
    Add model card, MIT license, config and fp16 weights 8 days ago
  • model.safetensors
    347 MB
    xet
    Add fp32 weights 8 days ago
  • predictor-fp16.safetensors
    45.8 MB
    xet
    Add the V-JEPA 2.1 predictor (fp16); update card and config 7 days ago
  • predictor.safetensors
    91.5 MB
    xet
    Add the V-JEPA 2.1 predictor (fp32) 8 days ago