Instructions to use Edgar404/donut-shared-r8-exp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edgar404/donut-shared-r8-exp with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Edgar404/donut-shared-r8-exp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from Edgar404/donut-shared-r8-exp: direct link, hf CLI and curl.
- Browser
- Download file 420 Bytes
-
https://huggingface.co/Edgar404/donut-shared-r8-exp/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://Edgar404/donut-shared-r8-exp/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Edgar404/donut-shared-r8-exp/resolve/main/preprocessor_config.json
420 Bytes
| { | |
| "do_align_long_axis": false, | |
| "do_normalize": true, | |
| "do_pad": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "do_thumbnail": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "DonutImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "processor_class": "DonutProcessor", | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": [ | |
| 960, | |
| 720 | |
| ] | |
| } | |