# shufflenetv2-0.5x-imagenet-torch Ultra-small image classifier for tiny devices with very limited power and memory. **Details** - Model name: `shufflenetv2-0.5x-imagenet-torch` - Model source: [https://pytorch.org/vision/main/models.html](https://pytorch.org/vision/main/models.html) - Model author: Ningning Ma, et al. - Model license: BSD 3-Clause - Model size: 5.28 MB - Exposes embeddings? yes - Tags: `classification, embeddings, logits, imagenet, torch, shufflenet, official` **Requirements** - Packages: `torch, torchvision` - CPU support - yes - GPU support - yes **Example usage** ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset( "imagenet-sample", dataset_name=fo.get_default_dataset_name(), max_samples=50, shuffle=True, ) model = foz.load_zoo_model("shufflenetv2-0.5x-imagenet-torch") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```