Instructions to use Vombit/yolov10x_cs2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- YOLOv10
How to use Vombit/yolov10x_cs2 with YOLOv10:
from ultralytics import YOLOvv10 model = YOLOvv10.from_pretrained("Vombit/yolov10x_cs2") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - ultralytics
How to use Vombit/yolov10x_cs2 with ultralytics:
from ultralytics import YOLOvv10 model = YOLOvv10.from_pretrained("Vombit/yolov10x_cs2") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b019796a0c2a95228adb5549cfdda06de13cf808513cb1312a7b2a2ab6db4526
- Size of remote file:
- 118 MB
- SHA256:
- 20f8ed4d6d3fe79a5f5d59c29b6610c5a8fcec846c463dea5197a5d72d4f9462
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