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    Models/Zero Shot Image Classification/justram/CLIP-ViT-B-32-laion2B-e16

    CLIP-ViT-B-32-laion2B-e16

    by justram

    Identifier
    Model ID
    justram/CLIP-ViT-B-32-laion2B-e16

    Tags

    open_clippytorchsafetensorsclipzero-shot-image-classificationlicense:mitregion:us

    Use CLIP-ViT-B-32-laion2B-e16 on Mixpeek

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

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, CLIP-ViT-B-32-laion2B-e16 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.