# medsiglip-448-zero-torch Medical SigLIP for zero-shot image classification and embeddings. **Details** - Model name: `medsiglip-448-zero-torch` - Model source: [https://huggingface.co/google/medsiglip-448](https://huggingface.co/google/medsiglip-448) - Model author: Google Research - Model license: Custom (HAI-DEF gated on Hugging Face) - Exposes embeddings? yes - Tags: `text-embeddings, classification, torch, official, medical, zero-shot, embeddings` **Requirements** - Packages: `torch, torchvision, transformers, huggingface_hub` - 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("medsiglip-448-zero-torch") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```