Instructions to use abe238/clm-tune-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use abe238/clm-tune-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download abe238/clm-tune-mlx --local-dir clm-tune-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download docs/img/3-trained-vs-not.png from abe238/clm-tune-mlx: direct link, hf CLI and curl.
- Browser
- Download file 166 kB
-
https://huggingface.co/abe238/clm-tune-mlx/resolve/main/docs/img/3-trained-vs-not.png
- Command line
-
hf download hf://abe238/clm-tune-mlx/docs/img/3-trained-vs-not.png
-
curl -L -o 3-trained-vs-not.png https://huggingface.co/abe238/clm-tune-mlx/resolve/main/docs/img/3-trained-vs-not.png
166 kB

- Xet hash:
- 89aec60745656ba3bac9c55690dff1c769c0b6aa28a1dc4084dd2beccd5faab7
- Size of remote file:
- 166 kB
- SHA256:
- 380b9039e1337edb29e2c9417fcdc16810c2df74cad6ca3ee22ef262d89c6d73
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