Instructions to use lunchspot/yolo11n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use lunchspot/yolo11n 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("lunchspot/yolo11n", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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Verified signatureAdd stock Ultralytics YOLO11n ONNX export used by LunchSpot Unmodified COCO-pretrained checkpoint, exported to ONNX. No fine-tuning applied LunchSpot filters the "person" COCO classes downstream for canteen occupancy detection.5e858fb -
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