Instructions to use datasidahmed/YOLOV8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use datasidahmed/YOLOV8 with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("datasidahmed/YOLOV8") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d140b050b0cb7a0b9f556566509cc18d0fd11a19a45845e44292da5ea43797b1
- Size of remote file:
- 12.1 MB
- SHA256:
- 37b74001ed72fae73ea2317774d1f97d090ced52eff45595f3789c75afb7a754
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