A SigLIP (Sigmoid Loss for Language-Image Pre-training) vision transformer model with 400 million parameters. Hosted in the timm library, it supports zero-shot image classification and produces high-quality image embeddings. The model was trained on the WebLI dataset and is compatible with the OpenCLIP ecosystem.
ViT SO400M 14 SigLIP is an Other AI project. It focuses on performing zero-shot image classification and vision-language tasks without task-specific training data. It is built as an open-source project for developers. The project is open source (Open Source). ViT SO400M 14 SigLIP is available on the web and API.
Behind ViT SO400M 14 SigLIP is timm, and it first shipped in 2023. Key capabilities include zero-shot classification, sigLIP architecture, and openCLIP compatible.
Summary written by a language model from the project’s public pages.
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