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    Models/Zero Shot Image Classification/google/siglip2-large-patch16-384
    Zero Shot Image Classificationtransformersapache-2.0

    siglip2-large-patch16-384

    by google

    Identifier
    Model ID
    google/siglip2-large-patch16-384

    Tags

    transformerssafetensorssiglipvisionzero-shot-image-classificationarxiv:2502.14786arxiv:2303.15343arxiv:2209.06794license:apache-2.0endpoints_compatibleregion:us

    Use siglip2-large-patch16-384 on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, siglip2-large-patch16-384 runs as a managed extractor inside a processing pipeline. Point a bucket of zero shot image classification data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.