Instructions to use deni1000/yolo26-text-bubble-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use deni1000/yolo26-text-bubble-detection with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("deni1000/yolo26-text-bubble-detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77db2387ef8da8428abd7d2481f5c52374f29bff47e32197eb551c0005292d59
- Size of remote file:
- 20.6 MB
- SHA256:
- 80697ead71a0a5fc7a65da17c09ed3e2458f8c2d7800f2cebaa6c58d04e2a91e
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