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    Models/Table Question Answering/vaishali/multitabqa-base-sql

    multitabqa-base-sql

    by vaishali

    Identifier
    Model ID
    vaishali/multitabqa-base-sql

    Tags

    transformerspytorchsafetensorsbarttext2text-generationmultitabqamulti-table-question-answeringtable-question-answeringendataset:vaishali/multitabqa_pretrainingdataset:vaishali/spider-tableQA-pretrainingdataset:vaishali/singleTableQA-pretrainingarxiv:2305.12820license:mitendpoints_compatibleregion:us

    Use multitabqa-base-sql 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, multitabqa-base-sql 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.