Instructions to use numind/NuExtract3-mlx-6bits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use numind/NuExtract3-mlx-6bits with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir NuExtract3-mlx-6bits numind/NuExtract3-mlx-6bits
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- 50a19a6696ca83a4fea1935d2154d3363a800680c4eaf75bbbbaca4cfc426382
- Size of remote file:
- 4.09 GB
- SHA256:
- 3b4ecfb3bc8fe6bc363552732867307ab703caf5381ec29b5d4c63c1eb06b65d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.