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    DOC_QA

    by SantiagoPG

    Identifier
    Model ID
    SantiagoPG/DOC_QA

    Tags

    transformerssafetensorslayoutlmdocument-question-answeringendataset:SantiagoPG/ocr_textsendpoints_compatibleregion:us

    Use DOC_QA 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, DOC_QA runs as a managed extractor inside a processing pipeline. Point a bucket of document 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.