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
Update README.md
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README.md
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@@ -100,7 +100,7 @@ results = model.predict("screenshot.png", imgsz=1280, conf=0.10, iou=0.10, save=
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@inproceedings{screenparse2026,
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title={ScreenParse: Moving Beyond Sparse Grounding with Complete Screen Parsing},
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author={TODO},
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booktitle={
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year={2026}
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}
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```
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@inproceedings{screenparse2026,
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title={ScreenParse: Moving Beyond Sparse Grounding with Complete Screen Parsing},
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author={TODO},
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booktitle={TODO},
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year={2026}
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}
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```
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