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 val_batch0_pred.jpg from avinashhm/welding-defect-yolov8-full-training: direct link, hf CLI and curl.
- Browser
- Download file 613 kB
-
https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/val_batch0_pred.jpg
- Command line
-
hf download hf://avinashhm/welding-defect-yolov8-full-training/val_batch0_pred.jpg
-
curl -L -o val_batch0_pred.jpg https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/val_batch0_pred.jpg
613 kB

- Xet hash:
- 0128afb4de7e03636539687d23bed3f572a60ebb9108c2772f972b152436ede2
- Size of remote file:
- 613 kB
- SHA256:
- dea407a3c4b03e25e1b6f685a95a2c8c9ee2a6570ae17fb4fc48955ed99e4058
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