# sapiens2-0.8b-pose-torch Sapiens2 0.8B top-down whole-body pose estimation producing 308 keypoints across body, face, hands, and feet, pretrained on 1 billion human images. Requires Python 3.12+ and person box prompts via prompt_field. **Details** - Model name: `sapiens2-0.8b-pose-torch` - Model source: [https://huggingface.co/facebook/sapiens2-pose-0.8b](https://huggingface.co/facebook/sapiens2-pose-0.8b) - Model author: Rawal Khirodkar, et al. - Model license: Sapiens2 License - Model size: 3.16 GB - Exposes embeddings? no - Tags: `keypoints, pose, human-centric, torch, transformer` **Requirements** - Packages: `torch, torchvision, huggingface_hub, sapiens @ git+https://github.com/facebookresearch/sapiens2.git` - 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("sapiens2-0.8b-pose-torch") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```