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 F1_curve.png from avinashhm/welding-defect-yolov8-full-training: direct link, hf CLI and curl.
- Browser
- Download file 183 kB
-
https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/F1_curve.png
- Command line
-
hf download hf://avinashhm/welding-defect-yolov8-full-training/F1_curve.png
-
curl -L -o F1_curve.png https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/F1_curve.png
183 kB

- Xet hash:
- b54afeab143fac1101f20c8dbad2804b6c3e343ac803ad59b4b537e813740e93
- Size of remote file:
- 183 kB
- SHA256:
- f27d90e204975f85f2d15356cbe6a69e4768a5e19d666b1f9f8b128a7b2e7f22
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