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    Models/Table Question Answering/neulab/omnitab-large-16shot

    omnitab-large-16shot

    by neulab

    Identifier
    Model ID
    neulab/omnitab-large-16shot

    Tags

    transformerspytorchbarttext2text-generationtapextable-question-answeringendataset:wikitablequestionsarxiv:2207.03637endpoints_compatibleregion:us

    Use omnitab-large-16shot on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, omnitab-large-16shot runs as a managed extractor inside a processing pipeline. Point a bucket of table question answering 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.