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:
- fcc10ee8bec6db0fdfd724a7649fe45592120a07cd73aa59e80adce539c8d040
- Size of remote file:
- 24.5 MB
- SHA256:
- 9d79153464316db0358d2bedb74d5d4ad753802e0c4c66715d6cd03846be56c5
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