Instructions to use aac6fef/laya-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aac6fef/laya-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download aac6fef/laya-mlx --local-dir laya-mlx
- Laya
How to use aac6fef/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 tokenizer/tokenizer.json from aac6fef/laya-mlx: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/aac6fef/laya-mlx/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://aac6fef/laya-mlx/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aac6fef/laya-mlx/resolve/main/tokenizer/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.