Instructions to use Ex0bit/jit-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Ex0bit/jit-lora with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Ex0bit/jit-lora --local-dir jit-lora
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download paper.pdf from Ex0bit/jit-lora: direct link, hf CLI and curl.
- Browser
- Download file 5.87 MB
-
https://huggingface.co/Ex0bit/jit-lora/resolve/main/paper.pdf
- Command line
-
hf download hf://Ex0bit/jit-lora/paper.pdf
-
curl -L -o paper.pdf https://huggingface.co/Ex0bit/jit-lora/resolve/main/paper.pdf
5.87 MB
- Xet hash:
- 552b1ada2e402569a33879eaeb5f217c36c69f9b5d8c173832faa78ff6a5cb71
- Size of remote file:
- 5.87 MB
- SHA256:
- 8428b2af7a9c0e5b20fd3e20f433e6d02c0f25d7135ab41bb3fd1d0b135f3760
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