Instructions to use Ultralytics/YOLO26 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Ultralytics/YOLO26 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Ultralytics/YOLO26") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45c3ccefa01724c9f0996599eec7e955a6195d3df5654f20d5605418fc2e6380
- Size of remote file:
- 48.4 MB
- SHA256:
- 23e0630f66857cf4b87535f6e705b065f1e8a33603640b8e61ace85b75312903
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.