Instructions to use itsreidar/orukeet-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use itsreidar/orukeet-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download itsreidar/orukeet-mlx --local-dir orukeet-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.model from itsreidar/orukeet-mlx: direct link, hf CLI and curl.
- Browser
- Download file 361 kB
-
https://huggingface.co/itsreidar/orukeet-mlx/resolve/main/tokenizer.model
- Command line
-
hf download hf://itsreidar/orukeet-mlx/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/itsreidar/orukeet-mlx/resolve/main/tokenizer.model
361 kB
- Xet hash:
- 6261fe385cceeffd5765259741593e903551e2b02da6a64f1c1d3067a69f2924
- Size of remote file:
- 361 kB
- SHA256:
- eacec2b0a77f336d4a2ca4a25a7047575d3c2b74de47e997f4c205126ed3135e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.