Instructions to use cpnlab/YOLOR-comm-mmWave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use cpnlab/YOLOR-comm-mmWave 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("cpnlab/YOLOR-comm-mmWave", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download commmmWave.png from cpnlab/YOLOR-comm-mmWave: direct link, hf CLI and curl.
- Browser
- Download file 5.32 MB
-
https://huggingface.co/cpnlab/YOLOR-comm-mmWave/resolve/main/commmmWave.png
- Command line
-
hf download hf://cpnlab/YOLOR-comm-mmWave/commmmWave.png
-
curl -L -o commmmWave.png https://huggingface.co/cpnlab/YOLOR-comm-mmWave/resolve/main/commmmWave.png
5.32 MB

- Xet hash:
- 28d360e85da7c0bc3e693ea45feed062663b0a1dc7d5c3fbedc575196bf45df2
- Size of remote file:
- 5.32 MB
- SHA256:
- a02aea30468e6dccd171a1711f0124936eb5a589addb72b61b27cd33ac54e61a
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