Instructions to use docling-project/ScreenParser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use docling-project/ScreenParser with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("docling-project/ScreenParser", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit History
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Update ScreenParser for ScreenParse v2
Verified signatureUpload detector checkpoint trained on ScreenParse v2 leaf-element annotations and update the model card. The v1 detector remains available on the v1 branch.f029e56
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Update README.md
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Update README.md
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Update README.md
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Upload folder using huggingface_hub
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initial commit
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