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    Models/Zero Shot Image Classification/flaviagiammarino/pubmed-clip-vit-base-patch32

    pubmed-clip-vit-base-patch32

    by flaviagiammarino

    15Kdl/month
    23likes
    Identifier
    Model ID
    flaviagiammarino/pubmed-clip-vit-base-patch32

    Tags

    transformerspytorchtfjaxclipzero-shot-image-classificationmedicalvisionenarxiv:2112.13906license:mitendpoints_compatibleregion:us

    Use pubmed-clip-vit-base-patch32 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, pubmed-clip-vit-base-patch32 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.