# yolo-nas-torch AI-designed detector family offering three model variants for diverse deployment scenarios. **Details** - Model name: `yolo-nas-torch` - Model source: [https://github.com/Deci-AI/super-gradients](https://github.com/Deci-AI/super-gradients) - Model author: Shay Aharon, et al. - Model license: Apache 2.0 - Exposes embeddings? no - Tags: `detection, torch, yolo, official` **Requirements** - Packages: `torch, torchvision, super-gradients` - 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("yolo-nas-torch") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```