Instructions to use SceneWorks/bernini-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/bernini-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir bernini-mlx SceneWorks/bernini-mlx
- Wan2.2
How to use SceneWorks/bernini-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:
- a85bdf34d90fdfcac425409a23c9a360fa771f4443f51257b6a12e65c71da33c
- Size of remote file:
- 28.6 GB
- SHA256:
- 47189a7d65d10b11b17a31fe8b7a81df01a12dc7aaf1273723402f1c7f442088
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