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
README.md exists but content is empty.
- Downloads last month
- 182
Model size
5B params
Tensor type
BF16
·
Hardware compatibility
Log In to add your hardware
Quantized
Model tree for rickylin20260522/Wan2.2-TI2V-5B-mlx
Base model
Wan-AI/Wan2.2-TI2V-5B
# 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