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    Zero Shot Image Classificationtransformersapache-2.0

    tipsv2-b14

    by google

    12Kdl/month
    108likes
    Identifier
    Model ID
    google/tipsv2-b14

    Tags

    transformerssafetensorstipsv2image-feature-extractionvisionimage-textcontrastive-learningzero-shotfeature-extractionzero-shot-image-classificationcustom_codelicense:apache-2.0region:us

    Use tipsv2-b14 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, tipsv2-b14 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.