Instructions to use kruatech/studio-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kruatech/studio-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download kruatech/studio-mlx --local-dir studio-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download stable-audio-3-medium/tokenizer/tokenizer.json from kruatech/studio-mlx: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/kruatech/studio-mlx/resolve/main/stable-audio-3-medium/tokenizer/tokenizer.json
- Command line
-
hf download hf://kruatech/studio-mlx/stable-audio-3-medium/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/kruatech/studio-mlx/resolve/main/stable-audio-3-medium/tokenizer/tokenizer.json
34.4 MB
- Xet hash:
- 0d4b2ece5256e1747b6af78855154781f668db653056a61b1f5d4701bb47f248
- Size of remote file:
- 34.4 MB
- SHA256:
- 7794135caa3ea73918949c902a781cc61dab674a4b59c17d85931c77c1114cbd
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