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_batch2.jpg from avinashhm/welding-defect-yolov8-full-training: direct link, hf CLI and curl.
- Browser
- Download file 591 kB
-
https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/train_batch2.jpg
- Command line
-
hf download hf://avinashhm/welding-defect-yolov8-full-training/train_batch2.jpg
-
curl -L -o train_batch2.jpg https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/train_batch2.jpg
591 kB

- Xet hash:
- a5d031e46b33f1a46e839505a87b5de7b05aeef13b2fdcb9374bd4dc775e54c8
- Size of remote file:
- 591 kB
- SHA256:
- 6d3c2941bcb16f0fce9948397a7324002c92ed1a8cabf7c5368b8aec887ccf50
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