Instructions to use mlx-community/flux2-klein-9b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/flux2-klein-9b-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir flux2-klein-9b-4bit mlx-community/flux2-klein-9b-4bit
- mflux
How to use mlx-community/flux2-klein-9b-4bit with mflux:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 1dfe450911e3d45e1fcfe46eeb6e7143c26e513f7687b82298fb24ec837464fa
- Size of remote file:
- 2.12 GB
- SHA256:
- 4f800449ddcfd11ee8d436664e7ae17aef5935860192cd6ba005bdd9f05aa478
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.