SigLIP2 is Google's open-weight vision-language model that maps images and text into a shared embedding space. The so400m-patch16-384 variant processes 384x384 images using a 16x16 patch size. It supports tasks such as image-text similarity, zero-shot classification, and retrieval. The model is distributed on Hugging Face and can be used locally or via inference providers.
Siglip2 So400m Patch16 384 is an Other AI project. It focuses on aligning images and text in a shared embedding space for zero-shot classification and retrieval tasks. It is built as an open-source project for developers. Siglip2 So400m Patch16 384 is open source under the Open Source license. It runs on the web and API.
It is developed by Google, and it first shipped in 2025. Among its 4 catalogued features are vision-Language, Image-Text Alignment, and Patch Embedding.
Summary written by a language model from the project’s public pages.
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