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    Models/Image Classification/edadaltocg/vit_base_patch16_224_in21k_ft_cifar100

    vit_base_patch16_224_in21k_ft_cifar100

    by edadaltocg

    Identifier
    Model ID
    edadaltocg/vit_base_patch16_224_in21k_ft_cifar100

    Tags

    timmpytorchimage-classificationtimm/vit_base_patch16_224.orig_in21k_ft_in1kcifar100endataset:cifar100license:mitmodel-indexregion:us

    Use vit_base_patch16_224_in21k_ft_cifar100 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, vit_base_patch16_224_in21k_ft_cifar100 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.