Instructions to use vsham001/Yolo298B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use vsham001/Yolo298B with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("vsham001/Yolo298B") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download best.pt from vsham001/Yolo298B: direct link, hf CLI and curl.
- Browser
- Download file 5.51 MB
-
https://huggingface.co/vsham001/Yolo298B/resolve/main/best.pt
- Command line
-
hf download hf://vsham001/Yolo298B/best.pt
-
curl -L -o best.pt https://huggingface.co/vsham001/Yolo298B/resolve/main/best.pt
5.51 MB
- Xet hash:
- a013b25b847f798c751b15ecffbee4c77069d25b0b3c05b477d0ffc17295d061
- Size of remote file:
- 5.51 MB
- SHA256:
- 72ba23cbefb49c3fac66737e796ba2081635fc7b279aefe6155f4f832ce82c4e
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