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    Models/Tabular Classification/aai540-group3/diabetes-readmission
    Tabular Classificationtransformersmit

    diabetes-readmission

    by aai540-group3

    Identifier
    Model ID
    aai540-group3/diabetes-readmission

    Tags

    transformersjoblibkerasonnxautogluontabular-classificationenlicense:mitmodel-indexendpoints_compatibleregion:us

    Use diabetes-readmission 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, diabetes-readmission runs as a managed extractor inside a processing pipeline. Point a bucket of tabular 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.