Instructions to use ultralyticsplus/yolov8s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use ultralyticsplus/yolov8s 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("ultralyticsplus/yolov8s", "<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 YOLOv8 to AGPL-3.0 License (#4)
Verified signature- Update README.md (0163f1bf739349a23074cd3d1332281515b11db6) Co-authored-by: Glenn Jocher <glenn-jocher@users.noreply.huggingface.co>ff9348d
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Update README.md (#2)
- Update README.md (8c9e0aa439d336d5ec36b17ff8dcc7a5cd420e5f) Co-authored-by: Kerem <keremberke@users.noreply.huggingface.co>2409e13 -
Upload yolov8s.pt (#1)
- Upload yolov8s.pt (6ee3de1f72c376bad0d0ced945aaa9b65da10735) Co-authored-by: Kerem <keremberke@users.noreply.huggingface.co>36ba5a2
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Create README.md
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Upload yolov8s.pt
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Create config.json
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initial commit
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