Instructions to use HanzalaTech/industrial-vision-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use HanzalaTech/industrial-vision-model 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("HanzalaTech/industrial-vision-model", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download best.pt from HanzalaTech/industrial-vision-model: direct link, hf CLI and curl.
- Browser
- Download file 16.6 MB
-
https://huggingface.co/HanzalaTech/industrial-vision-model/resolve/main/best.pt
- Command line
-
hf download hf://HanzalaTech/industrial-vision-model/best.pt
-
curl -L -o best.pt https://huggingface.co/HanzalaTech/industrial-vision-model/resolve/main/best.pt
16.6 MB
- Xet hash:
- 58a898d6e8798815ac50f465f52666867d71132054c85b1188342eed7f069ebe
- Size of remote file:
- 16.6 MB
- SHA256:
- 40b01090b6229133a72781948d00561dede82771c3a9d6d6c10954cdcfdc68b4
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