Instructions to use xocialize/Mage-Flow-Edit-Base-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use xocialize/Mage-Flow-Edit-Base-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Mage-Flow-Edit-Base-mlx xocialize/Mage-Flow-Edit-Base-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio

- Xet hash:
- c0ef85ae1f3c7fb7acb293e96234f2aa5d86dcd6be46b09bf4096f7b6d0d2bfa
- Size of remote file:
- 478 kB
- SHA256:
- f37ba5d03a9a2edc7fe491615c2558e6058e8c019766e43b07c00c6f604bd788
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.