Instructions to use juliozhao/DocLayout-YOLO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use juliozhao/DocLayout-YOLO 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("juliozhao/DocLayout-YOLO", "<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
7 days ago
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Simplify dataset download instructions
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Rewrite README: user-facing style, hide training-run internals
Verified signatureRemove internal engineering details (epoch-suffix naming note, head-rebuild mechanics, smoke-test report references); align style with the release README.0d1aa04
30 days ago
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Data preparation: add offline AMP-check note
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Add data preparation section (dataset repos, shard flattening, pipeline usage)
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Upload README.md with huggingface_hub
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