Instructions to use dronefreak/visdrone-yolov26n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov26n with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("dronefreak/visdrone-yolov26n") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- b515e8afc02c347cd0224c2764404127ebd526485656cc5287491d24542fc498
- Size of remote file:
- 281 kB
- SHA256:
- e422c52b6e5bd550e2d46406c9c4bbd68e04f94d3c8ac3799fb083529bf34115
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.