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    Models/Document Question Answering/RamzesIII/llmv2-docvqa-finetuned

    llmv2-docvqa-finetuned

    by RamzesIII

    Identifier
    Model ID
    RamzesIII/llmv2-docvqa-finetuned

    Tags

    transformerstensorboardsafetensorslayoutlmv2document-question-answeringenlicense:mitendpoints_compatibleregion:us

    Use llmv2-docvqa-finetuned 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, llmv2-docvqa-finetuned 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.