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 Settings
- LM Studio
- Atomic Chat
Download processor_config.json from numind/NuExtract3-mlx-6bits: direct link, hf CLI and curl.
- Browser
- Download file 991 Bytes
-
https://huggingface.co/numind/NuExtract3-mlx-6bits/resolve/main/processor_config.json
- Command line
-
hf download hf://numind/NuExtract3-mlx-6bits/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/numind/NuExtract3-mlx-6bits/resolve/main/processor_config.json
991 Bytes
| { | |
| "image_processor": { | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "Qwen3VLImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "max_pixels": 16777216, | |
| "merge_size": 2, | |
| "min_pixels": 65536, | |
| "patch_size": 16, | |
| "rescale_factor": 0.00392156862745098, | |
| "temporal_patch_size": 2 | |
| }, | |
| "processor_class": "Qwen3VLProcessor", | |
| "video_processor": { | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "fps": 2.0, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "max_frames": 768, | |
| "max_pixels": 786432, | |
| "merge_size": 2, | |
| "min_frames": 4, | |
| "min_pixels": 131072, | |
| "patch_size": 16, | |
| "rescale_factor": 0.00392156862745098, | |
| "temporal_patch_size": 2, | |
| "video_processor_type": "Qwen3VLVideoProcessor" | |
| } | |
| } | |