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 results.png from avinashhm/welding-defect-yolov8-full-training: direct link, hf CLI and curl.
- Browser
- Download file 271 kB
-
https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/results.png
- Command line
-
hf download hf://avinashhm/welding-defect-yolov8-full-training/results.png
-
curl -L -o results.png https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/results.png
271 kB

- Xet hash:
- 15cd0179dc7e2566c9562fdd384e2b1463b614028ea2ea902aa8986e342baa83
- Size of remote file:
- 271 kB
- SHA256:
- ca61f014e27303258f385fa35837607f6d78d2a5c097e0c33aff2a1b67633eaa
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