Video Classification
MLX
Safetensors
video
vjepa2
world-model
action-conditioned
robotics
apple-silicon
Instructions to use mlx-community/V-JEPA2-AC-vitg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/V-JEPA2-AC-vitg with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir V-JEPA2-AC-vitg mlx-community/V-JEPA2-AC-vitg
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- eb2429f86d3b1e34ec761fbecdd4f4cbedff4ac0debed32ebcbd702c46baeba8
- Size of remote file:
- 2.63 GB
- SHA256:
- 67456fbcbbc8c838fe6f93cac53188afbaa2c91fdcb300b39693e4d96f56dec5
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