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_batch1_labels.jpg from avinashhm/welding-defect-yolov8-full-training: direct link, hf CLI and curl.
- Browser
- Download file 634 kB
-
https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/val_batch1_labels.jpg
- Command line
-
hf download hf://avinashhm/welding-defect-yolov8-full-training/val_batch1_labels.jpg
-
curl -L -o val_batch1_labels.jpg https://huggingface.co/avinashhm/welding-defect-yolov8-full-training/resolve/main/val_batch1_labels.jpg
634 kB

- Xet hash:
- 1a4bd634b3c664df79c6f5d1f20205cd8ed45b00583631c36b3026d1250efb10
- Size of remote file:
- 634 kB
- SHA256:
- 22f8acc071605b1879ce79cd32804e05e100d3430ad5269b0e232e8a93cc4895
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