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    Models/Document Question Answering/am-infoweb/layoutlmv2-finetuned_docvqa
    Document Question Answeringtransformerscc-by-nc-sa-4.0

    layoutlmv2-finetuned_docvqa

    by am-infoweb

    Identifier
    Model ID
    am-infoweb/layoutlmv2-finetuned_docvqa

    Tags

    transformerspytorchsafetensorslayoutlmv2document-question-answeringgenerated_from_trainerbase_model:microsoft/layoutlmv2-base-uncasedbase_model:finetune:microsoft/layoutlmv2-base-uncasedlicense:cc-by-nc-sa-4.0endpoints_compatibleregion:us

    Use layoutlmv2-finetuned_docvqa 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, layoutlmv2-finetuned_docvqa 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.