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 P_curve.png from avinashhm/welding-defect-yolov8-full-training: direct link, hf CLI and curl.
- Browser
- Download file 173 kB
-
https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/P_curve.png
- Command line
-
hf download hf://avinashhm/welding-defect-yolov8-full-training/P_curve.png
-
curl -L -o P_curve.png https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/P_curve.png
173 kB

- Xet hash:
- 41cfaef050538743fd5aebdd47993ab8c06a9ccf4606a8626b3b1458b6118653
- Size of remote file:
- 173 kB
- SHA256:
- 9cc20ca83e0026e3e96da8f0c23e82fe53154c7b1ddf9bf75742883e56a635ec
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