Instructions to use iky1e/moebius-ft-celebahq-mlx-f16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use iky1e/moebius-ft-celebahq-mlx-f16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir moebius-ft-celebahq-mlx-f16 iky1e/moebius-ft-celebahq-mlx-f16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 74f05c8f858f3efc4b51fd45871825f1ed2e3c99bf18c0e9b4c892719031a5ca
- Size of remote file:
- 99 MB
- SHA256:
- 08778bbb4b48640ad16381904eeeb99635846eb24409f70ae7fdc8eb01a87e76
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.