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:
- d244b8af2a3e95ea65e370c272d39a90086d3807a267cbd72f5406a61b519044
- Size of remote file:
- 118 MB
- SHA256:
- e8cd03afd25fc01872b20e2e738a3bedeb9b0962f81b57914c5a58b7b28e91a6
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