Instructions to use mlx-community/SeedVR2-3B-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/SeedVR2-3B-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir SeedVR2-3B-mlx mlx-community/SeedVR2-3B-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 07c6eac4fb35b44b9f8f84f17565ba0c9656bd0799760e2ddf270815d0e3fd6f
- Size of remote file:
- 501 MB
- SHA256:
- a2efbfb38a82a99a9cd16432ca5d564510678d228ce6209692d528aa32285cfb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.