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:
- b6ad9620255fe9876cb0e76b3191fea01ab5275c1cfc33012e5c50d5703c94d6
- Size of remote file:
- 8.38 GB
- SHA256:
- 2df1654d17aa80b78654e4f6ca10a6230f8a54ad4148317b7cc05f35f3baf688
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