Instructions to use avinashhm/welding-defect-yolov8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use avinashhm/welding-defect-yolov8 with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("avinashhm/welding-defect-yolov8", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download best.pt from avinashhm/welding-defect-yolov8: direct link, hf CLI and curl.
- Browser
- Download file 22.5 MB
-
https://huggingface.co/avinashhm/welding-defect-yolov8/resolve/main/best.pt
- Command line
-
hf download hf://avinashhm/welding-defect-yolov8/best.pt
-
curl -L -o best.pt https://huggingface.co/avinashhm/welding-defect-yolov8/resolve/main/best.pt
22.5 MB
- Xet hash:
- 1356ad3623286f501134a743424701aa4a01049b2237766178a2cdd4dc21de96
- Size of remote file:
- 22.5 MB
- SHA256:
- 92243d6d3b3c667f0dd8f2d2261d480c744912e97e1842e9b92dc9465de52c86
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