Instructions to use mlx-community/Bernini-R-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Bernini-R-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Bernini-R-bf16 mlx-community/Bernini-R-bf16
- Wan2.2
How to use mlx-community/Bernini-R-bf16 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:
- ca88a2e80151fa2aa481792aa5e6ba3c7185e4071822e7694353326326a969d3
- Size of remote file:
- 508 MB
- SHA256:
- 977530e453dbfabbab31e2972e1577d8d7e2840ba7410c81aa3fd421c0cd7414
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