This demo showcases how to use CLIP to compute similarity between texts and images, which can be employed for image-to-text or text-to-image retrieval tasks.
cargo run -r --example clip(90.11472%) ./examples/clip/images/carrot.jpg => 几个胡萝卜
[0.04573484, 0.0048218793, 0.0011618224, 0.90114725, 0.0036694852, 0.031348046, 0.0121166315]
(94.07785%) ./examples/clip/images/peoples.jpg => Some people holding wine glasses in a restaurant
[0.050406333, 0.0011632168, 0.0019338318, 0.0013227565, 0.003916758, 0.00047858112, 0.9407785]
(86.59852%) ./examples/clip/images/doll.jpg => There is a doll with red hair and a clock on a table
[0.07032883, 0.00053773675, 0.0006372929, 0.06066096, 0.0007378078, 0.8659852, 0.0011121632]