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

  • Model author: Google Research

  • Model license: Custom (HAI-DEF gated on Hugging Face)

  • Exposes embeddings? no

  • Tags: classification, torch, official, medical, zero-shot

Requirements

  • Packages: torch, torchvision, transformers, huggingface_hub

  • CPU support

    • yes

  • GPU support

    • yes

Example usage

 1import fiftyone as fo
 2import fiftyone.zoo as foz
 3
 4dataset = foz.load_zoo_dataset(
 5    "coco-2017",
 6    split="validation",
 7    dataset_name=fo.get_default_dataset_name(),
 8    max_samples=50,
 9    shuffle=True,
10)
11
12model = foz.load_zoo_model("medsiglip-448-zero-torch")
13
14dataset.apply_model(model, label_field="predictions")
15
16session = fo.launch_app(dataset)