Instructions to use JcProg/PCBInspect-BodyDefect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use JcProg/PCBInspect-BodyDefect 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("JcProg/PCBInspect-BodyDefect", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download model.onnx from JcProg/PCBInspect-BodyDefect: direct link, hf CLI and curl.
- Browser
- Download file 21.8 MB
-
https://huggingface.co/JcProg/PCBInspect-BodyDefect/resolve/main/model.onnx
- Command line
-
hf download hf://JcProg/PCBInspect-BodyDefect/model.onnx
-
curl -L -o model.onnx https://huggingface.co/JcProg/PCBInspect-BodyDefect/resolve/main/model.onnx
21.8 MB
- Xet hash:
- d495241abe6985200c9c6c939553a62f47ff244c341b92bad9aa8997c2287df7
- Size of remote file:
- 21.8 MB
- SHA256:
- 85912bafebeb7226e5aa86b256c5fa89d3cee5d0293360c084126bbea8b927d4
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