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    Models/Image Feature Extraction/timm/vit_so400m_patch16_siglip_256.v2_webli

    vit_so400m_patch16_siglip_256.v2_webli

    by timm

    Identifier
    Model ID
    timm/vit_so400m_patch16_siglip_256.v2_webli

    Tags

    timmpytorchsafetensorstransformersimage-feature-extractionsiglipsiglip2dataset:webliarxiv:2502.14786arxiv:2303.15343license:apache-2.0region:us

    Use vit_so400m_patch16_siglip_256.v2_webli 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, vit_so400m_patch16_siglip_256.v2_webli runs as a managed extractor inside a processing pipeline. Point a bucket of image feature extraction 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.