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] huggingface-cli download --local-dir laya-mlx millat/laya-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer/tokenizer.json from millat/laya-mlx: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/millat/laya-mlx/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://millat/laya-mlx/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/millat/laya-mlx/resolve/main/tokenizer/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.