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 train_batch9181.jpg from avinashhm/welding-defect-yolov8-full-training: direct link, hf CLI and curl.
- Browser
- Download file 487 kB
-
https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/train_batch9181.jpg
- Command line
-
hf download hf://avinashhm/welding-defect-yolov8-full-training/train_batch9181.jpg
-
curl -L -o train_batch9181.jpg https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/train_batch9181.jpg
487 kB

- Xet hash:
- 380e400b16f0ffc02245cfdf295ca701002e3a7af52252f7dfe5e13dc91d4543
- Size of remote file:
- 487 kB
- SHA256:
- e4e7c307f7f1a61d405890a2c7d9489bade1386d2b2d7f0875558594dc4818c5
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