Instructions to use atkinschang/DocumentFigureClassifier-v2.5-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use atkinschang/DocumentFigureClassifier-v2.5-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download atkinschang/DocumentFigureClassifier-v2.5-MLX --local-dir DocumentFigureClassifier-v2.5-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Publish MLX-converted weights of docling-project/DocumentFigureClassifier-v2.5 at f859dfbff5c9916cd996942d4b0db7fa25808220
673c861 Download preprocessor_config.json from atkinschang/DocumentFigureClassifier-v2.5-MLX: direct link, hf CLI and curl.
- Browser
- Download file 377 Bytes
-
https://huggingface.co/atkinschang/DocumentFigureClassifier-v2.5-MLX/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://atkinschang/DocumentFigureClassifier-v2.5-MLX/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/atkinschang/DocumentFigureClassifier-v2.5-MLX/resolve/main/preprocessor_config.json
377 Bytes
| { | |
| "do_convert_rgb": null, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "ViTImageProcessor", | |
| "image_std": [ | |
| 0.47853944, | |
| 0.4732864, | |
| 0.47434163 | |
| ], | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 224, | |
| "width": 224 | |
| } | |
| } | |