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

- Xet hash:
- 276fc391e2e393e09d9c37ba3a148e321fe69b7f3373bf6d50808c0d2e648fcc
- Size of remote file:
- 411 kB
- SHA256:
- b0ca0795847e6ea9efbb6955b09acf4b81ddaefdee85b6e7c6856f66d3f6d95b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.