NEWVectors or files. Pick a path.Start →
    Models/Table Question Answering/Nomedamai/custom_QA
    Table Question Answeringtransformersapache-2.0

    custom_QA

    by Nomedamai

    Identifier
    Model ID
    Nomedamai/custom_QA

    Tags

    transformerspytorchtfsafetensorstapastable-question-answeringlicense:apache-2.0endpoints_compatibleregion:us

    Use custom_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, custom_QA 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.