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
Download mlx_config.json from millat/laya-mlx: direct link, hf CLI and curl.
- Browser
- Download file 290 Bytes
-
https://huggingface.co/millat/laya-mlx/resolve/main/mlx_config.json
- Command line
-
hf download hf://millat/laya-mlx/mlx_config.json
-
curl -L -o mlx_config.json https://huggingface.co/millat/laya-mlx/resolve/main/mlx_config.json
290 Bytes
| { | |
| "format": "laya-mlx", | |
| "format_version": 1, | |
| "dtype": "float16", | |
| "source": "convaiinnovations/laya", | |
| "revision": "c5d78730f3493e4fe16d61507ef4b78eef7318cf", | |
| "subfolder": null, | |
| "source_revision": "c5d78730f3493e4fe16d61507ef4b78eef7318cf", | |
| "repository": "aac6fef/laya-mlx" | |
| } | |