Instructions to use JcProg/PCBInspect-Region with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use JcProg/PCBInspect-Region 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-Region", "<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-Region: direct link, hf CLI and curl.
- Browser
- Download file 6.17 MB
-
https://huggingface.co/JcProg/PCBInspect-Region/resolve/main/model.onnx
- Command line
-
hf download hf://JcProg/PCBInspect-Region/model.onnx
-
curl -L -o model.onnx https://huggingface.co/JcProg/PCBInspect-Region/resolve/main/model.onnx
6.17 MB
- Xet hash:
- 751200a11a4525d82ac8c5055851c71be2835c9a4948d789865aed4a849feaea
- Size of remote file:
- 6.17 MB
- SHA256:
- 672edc645515d53f6946431fafa801a9f0c5b2144ca6bb5e4d4c4d216e7b947c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.