Instructions to use JcProg/PCBInspect-TextDefect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use JcProg/PCBInspect-TextDefect 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-TextDefect", "<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-TextDefect: direct link, hf CLI and curl.
- Browser
- Download file 6.16 MB
-
https://huggingface.co/JcProg/PCBInspect-TextDefect/resolve/main/model.onnx
- Command line
-
hf download hf://JcProg/PCBInspect-TextDefect/model.onnx
-
curl -L -o model.onnx https://huggingface.co/JcProg/PCBInspect-TextDefect/resolve/main/model.onnx
6.16 MB
- Xet hash:
- 163f0cf41e7f0b6c138ababb20c164f94d871de1172c4e2307c6fe08fdf180c8
- Size of remote file:
- 6.16 MB
- SHA256:
- 07e592d4217d3089602bc9354fe312dc3280cc47aa54a32ed26476e83efba919
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