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 confusion_matrix_normalized.png from avinashhm/welding-defect-yolov8-full-training: direct link, hf CLI and curl.
- Browser
- Download file 161 kB
-
https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/confusion_matrix_normalized.png
- Command line
-
hf download hf://avinashhm/welding-defect-yolov8-full-training/confusion_matrix_normalized.png
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curl -L -o confusion_matrix_normalized.png https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/confusion_matrix_normalized.png
161 kB

- Xet hash:
- 87645742e0ea9d29a2c51891ae6941fd4f11a0efc621745c3c2ec85945393c46
- Size of remote file:
- 161 kB
- SHA256:
- 81d834dcd007e4d622493bce18d01d3d6d0b8304a4bc41ca759d51e3e335a214
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