Instructions to use numind/NuExtract3-mlx-5bits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use numind/NuExtract3-mlx-5bits with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir NuExtract3-mlx-5bits numind/NuExtract3-mlx-5bits
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- 6648fb2623460a7c1a88cb389d1d09bb8b7d14cc724b22f9c6e59fc850f3829b
- Size of remote file:
- 3.56 GB
- SHA256:
- 59d7a10a7a5ff6da03d3d31ffe418de847a6ad53328aaec5360fcebca3dc0465
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.