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    Models/Document Question Answering/AntonioTH/Layout-finetuned-fr-model-50instances20-100epochs-5e-05lr
    Document Question Answeringtransformerscc-by-nc-sa-4.0

    Layout-finetuned-fr-model-50instances20-100epochs-5e-05lr

    by AntonioTH

    Identifier
    Model ID
    AntonioTH/Layout-finetuned-fr-model-50instances20-100epochs-5e-05lr

    Tags

    transformerstensorboardsafetensorslayoutlmv2document-question-answeringgenerated_from_trainerbase_model:microsoft/layoutxlm-basebase_model:finetune:microsoft/layoutxlm-baselicense:cc-by-nc-sa-4.0endpoints_compatibleregion:us

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    How It Runs on Mixpeek

    On Mixpeek, Layout-finetuned-fr-model-50instances20-100epochs-5e-05lr 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.