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    Models/Zero Shot Image Classification/cs-giung/clip-vit-large-patch14-laion2b

    clip-vit-large-patch14-laion2b

    by cs-giung

    Identifier
    Model ID
    cs-giung/clip-vit-large-patch14-laion2b

    Tags

    transformerssafetensorsclipzero-shot-image-classificationarxiv:2103.00020arxiv:2212.07143license:mitendpoints_compatibleregion:us

    Use clip-vit-large-patch14-laion2b 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, clip-vit-large-patch14-laion2b 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.