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    Models/Image Classification/timm/eva02_large_patch14_448.mim_m38m_ft_in22k_in1k

    eva02_large_patch14_448.mim_m38m_ft_in22k_in1k

    by timm

    Identifier
    Model ID
    timm/eva02_large_patch14_448.mim_m38m_ft_in22k_in1k

    Tags

    timmpytorchsafetensorsimage-classificationtransformersdataset:imagenet-1kdataset:imagenet-22karxiv:2303.11331arxiv:2303.15389license:mitregion:us

    Use eva02_large_patch14_448.mim_m38m_ft_in22k_in1k on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, eva02_large_patch14_448.mim_m38m_ft_in22k_in1k 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.