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    Models/Document Question Answering/cloudqi/CQI_Visual_Question_Awnser_PT_v0
    Document Question Answeringadapter-transformersapache-2.0

    CQI_Visual_Question_Awnser_PT_v0

    by cloudqi

    Identifier
    Model ID
    cloudqi/CQI_Visual_Question_Awnser_PT_v0

    Tags

    adapter-transformerspytorchtfsafetensorslayoutlmdocument-question-answeringpdfptenlicense:apache-2.0region:us

    Use CQI_Visual_Question_Awnser_PT_v0 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, CQI_Visual_Question_Awnser_PT_v0 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.