Instructions to use average23/yolo11x-text-detection-fork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use average23/yolo11x-text-detection-fork with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("average23/yolo11x-text-detection-fork") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79091dbf5bb64b133dd7b0d54b11948e79210129321a25997ea195d5cd7653ec
- Size of remote file:
- 114 MB
- SHA256:
- 4438352648519db15e8e1c19660eee472be486f69532d07838c8cb85cfb4b0a7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.