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_labels.jpg from avinashhm/welding-defect-yolov8-full-training: direct link, hf CLI and curl.
- Browser
- Download file 592 kB
-
https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/val_batch0_labels.jpg
- Command line
-
hf download hf://avinashhm/welding-defect-yolov8-full-training/val_batch0_labels.jpg
-
curl -L -o val_batch0_labels.jpg https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/val_batch0_labels.jpg
592 kB

- Xet hash:
- f128591c0485d6dd4195b2b10d33e171cf5b492d0443927a8c0e587c225b4484
- Size of remote file:
- 592 kB
- SHA256:
- 36834bd1c523b856b1aa0eba432676783b60317a6f28fb4a4b21f091f4437f25
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