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    Models/Image Classification/DunnBC22/vit-base-patch16-224-in21k_lung_and_colon_cancer
    Image Classificationtransformersapache-2.0

    vit-base-patch16-224-in21k_lung_and_colon_cancer

    by DunnBC22

    Identifier
    Model ID
    DunnBC22/vit-base-patch16-224-in21k_lung_and_colon_cancer

    Tags

    transformerspytorchtensorboardvitimage-classificationgenerated_from_trainerendataset:imagefolderlicense:apache-2.0model-indexendpoints_compatibleregion:us

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    How It Runs on Mixpeek

    On Mixpeek, vit-base-patch16-224-in21k_lung_and_colon_cancer runs as a managed extractor inside a processing pipeline. Point a bucket of 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.