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    Models/Visual Question Answering/nirusanan/Florence-2_FT_VQA

    Florence-2_FT_VQA

    by nirusanan

    Identifier
    Model ID
    nirusanan/Florence-2_FT_VQA

    Tags

    transformerssafetensorsflorence2image-text-to-textvisual-question-answeringcustom_codeendataset:HuggingFaceM4/DocumentVQAbase_model:microsoft/Florence-2-base-ftbase_model:finetune:microsoft/Florence-2-base-ftendpoints_compatibleregion:us

    Use Florence-2_FT_VQA 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, Florence-2_FT_VQA runs as a managed extractor inside a processing pipeline. Point a bucket of visual 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.