Instructions to use millat/laya-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use millat/laya-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download millat/laya-mlx --local-dir laya-mlx
- Laya
How to use millat/laya-mlx with Laya:
# 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
- Atomic Chat
File size: 290 Bytes
90f2dae | 1 2 3 4 5 6 7 8 9 10 11 | {
"format": "laya-mlx",
"format_version": 1,
"dtype": "float16",
"source": "convaiinnovations/laya",
"revision": "c5d78730f3493e4fe16d61507ef4b78eef7318cf",
"subfolder": null,
"source_revision": "c5d78730f3493e4fe16d61507ef4b78eef7318cf",
"repository": "aac6fef/laya-mlx"
}
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