# dinov2-vits14-reg-torch Compact stable model for image search that runs efficiently on phones and edge devices. **Details** - Model name: `dinov2-vits14-reg-torch` - Model source: [https://github.com/facebookresearch/dinov2](https://github.com/facebookresearch/dinov2) - Model author: Maxime Oquab, et al. - Model license: Apache 2.0 - Model size: 84.20 MB - Exposes embeddings? yes - Tags: `embeddings, torch, dinov2, transformer, 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( "coco-2017", split="validation", dataset_name=fo.get_default_dataset_name(), max_samples=50, shuffle=True, ) model = foz.load_zoo_model("dinov2-vits14-reg-torch") embeddings = dataset.compute_embeddings(model) ```