Instructions to use vasanth009/vjepa2-vitg-fpc64-256-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use vasanth009/vjepa2-vitg-fpc64-256-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir vjepa2-vitg-fpc64-256-mlx vasanth009/vjepa2-vitg-fpc64-256-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 086eec6fc72ebb8d7088ccf18cc03524e1706925345cbc15c1db2ffe2078a58d
- Size of remote file:
- 2.02 GB
- SHA256:
- 80d6056d9a595b8261481f44bb6d8d3a5edfcf6565a267aa2a38918c4bbc7ee8
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