# moge-3-vitg-torch MoGe-3 ViT-g (1.25B): the largest MoGe-3 model for metric monocular geometry, with depth, a camera-space point map, surface normals and camera intrinsics, refined by a sparse volumetric stage. **Details** - Model name: `moge-3-vitg-torch` - Model source: [https://github.com/microsoft/MoGe](https://github.com/microsoft/MoGe) - Model author: Lingyu Kong, Ruicheng Li, Ruicheng Wang, et al. - Model license: MIT - Model size: 4.66 GB - Exposes embeddings? no - Tags: `depth, 3d, torch, transformer` **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("moge-3-vitg-torch") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```