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 ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("ultralyticsplus/yolov8s") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download config.json from ultralyticsplus/yolov8s: direct link, hf CLI and curl.
- Browser
- Download file 65 Bytes
-
https://huggingface.co/ultralyticsplus/yolov8s/resolve/07e6265ab9f2efee1c615f62c96d4ccf8e986470/config.json
- Command line
-
hf download hf://ultralyticsplus/yolov8s@07e6265ab9f2efee1c615f62c96d4ccf8e986470/config.json
-
curl -L -o config.json https://huggingface.co/ultralyticsplus/yolov8s/resolve/07e6265ab9f2efee1c615f62c96d4ccf8e986470/config.json
65 Bytes
| {"input_size": 640, "task": "object-detection", "best_ap": 0.449} |