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] huggingface-cli download --local-dir jit-lora Ex0bit/jit-lora
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- 552b1ada2e402569a33879eaeb5f217c36c69f9b5d8c173832faa78ff6a5cb71
- Size of remote file:
- 5.87 MB
- SHA256:
- 8428b2af7a9c0e5b20fd3e20f433e6d02c0f25d7135ab41bb3fd1d0b135f3760
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.