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    Models/Document Question Answering/zibajoon/20231109_layoutlm2_5k_20ep_Doc_NA
    Document Question Answeringtransformerscc-by-nc-sa-4.0

    20231109_layoutlm2_5k_20ep_Doc_NA

    by zibajoon

    Identifier
    Model ID
    zibajoon/20231109_layoutlm2_5k_20ep_Doc_NA

    Tags

    transformerspytorchlayoutlmv2document-question-answeringgenerated_from_trainerbase_model:microsoft/layoutlmv2-base-uncasedbase_model:finetune:microsoft/layoutlmv2-base-uncasedlicense:cc-by-nc-sa-4.0endpoints_compatibleregion:us

    Use 20231109_layoutlm2_5k_20ep_Doc_NA 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, 20231109_layoutlm2_5k_20ep_Doc_NA 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.