Instructions to use avinashhm/welding-defect-yolov8-full-training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use avinashhm/welding-defect-yolov8-full-training 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-full-training", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download PR_curve.png from avinashhm/welding-defect-yolov8-full-training: direct link, hf CLI and curl.
- Browser
- Download file 166 kB
-
https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/PR_curve.png
- Command line
-
hf download hf://avinashhm/welding-defect-yolov8-full-training/PR_curve.png
-
curl -L -o PR_curve.png https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/PR_curve.png
166 kB

- Xet hash:
- cd29464ebc78653973e932a63f6994533fa54364cf5541bf30f5f8dc5557f449
- Size of remote file:
- 166 kB
- SHA256:
- 2de6f07a622d14f5ae8395938f508538b71a3c461ad3c404fa41c5cd40e7f680
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