# yolov8n-coco-torch Edge-optimized detector recognizing common objects on resource-limited devices effectively. **Details** - Model name: `yolov8n-coco-torch` - Model source: [https://docs.ultralytics.com/models/yolov8/](https://docs.ultralytics.com/models/yolov8/) - Model author: Glenn Jocher, et al. - Model license: AGPL-3.0 - Model size: 6.23 MB - Exposes embeddings? no - Tags: `detection, coco, torch, yolo, official` **Requirements** - Packages: `torch>=1.7.0, torchvision>=0.8.1, ultralytics` - CPU support - yes - GPU support - yes **Example usage** ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset( "coco-2017", split="validation", dataset_name=fo.get_default_dataset_name(), max_samples=50, shuffle=True, ) model = foz.load_zoo_model("yolov8n-coco-torch") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```