Instructions to use kitjesen/MinerU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kitjesen/MinerU with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kitjesen/MinerU", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kitjesen/MinerU", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "image_processor_type": "Pix2StructImageProcessor", | |
| "is_vqa": false, | |
| "max_patches": 4096, | |
| "patch_size": { | |
| "height": 16, | |
| "width": 16 | |
| }, | |
| "processor_class": "Pix2StructProcessor" | |
| } | |