Instructions to use rickylin20260522/Wan2.2-TI2V-5B-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use rickylin20260522/Wan2.2-TI2V-5B-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Wan2.2-TI2V-5B-mlx rickylin20260522/Wan2.2-TI2V-5B-mlx
- Wan2.2
How to use rickylin20260522/Wan2.2-TI2V-5B-mlx with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 8a83ea51238fc8a8ab90742d3e2c4ba7f841fe69987bdb27f957fa96df131cf3
- Size of remote file:
- 2.82 GB
- SHA256:
- a2d3602f692144facc3d58c56db30820c4400e67d4bb821feff3ea8347629804
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