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    Models/Image Classification/brunoasm/vit_large_patch32_224.NCBI_SRA
    Image Classificationfastaiapache-2.0

    vit_large_patch32_224.NCBI_SRA

    by brunoasm

    Identifier
    Model ID
    brunoasm/vit_large_patch32_224.NCBI_SRA

    Tags

    fastaipytorchsafetensorstimmDNA signatureDNA barcodingbioinformaticsimage-classificationenbase_model:timm/vit_large_patch32_224.orig_in21kbase_model:finetune:timm/vit_large_patch32_224.orig_in21klicense:apache-2.0region:us

    Use vit_large_patch32_224.NCBI_SRA 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_large_patch32_224.NCBI_SRA 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.