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:
- 0c03fe6170af85f8995ef08a1e0aa3fb4878532e9f32ee9817233cd58d84a67a
- Size of remote file:
- 10 GB
- SHA256:
- ea926abbc7cb1037c3996136ffd87497fe6e5ecccad8c3627d25a4fc5b0ba8a2
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