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    Models/Zero Shot Image Classification/timm/vit_base_patch32_clip_224.laion400m_e32

    vit_base_patch32_clip_224.laion400m_e32

    by timm

    Identifier
    Model ID
    timm/vit_base_patch32_clip_224.laion400m_e32

    Tags

    open_clippytorchsafetensorsclipzero-shot-image-classificationlicense:mitregion:us

    Use vit_base_patch32_clip_224.laion400m_e32 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, vit_base_patch32_clip_224.laion400m_e32 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.