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    Models/Visual Question Answering/dandelin/vilt-b32-finetuned-vqa
    Visual Question Answeringtransformersapache-2.0

    vilt-b32-finetuned-vqa

    by dandelin

    60Kdl/month
    423likes
    Identifier
    Model ID
    dandelin/vilt-b32-finetuned-vqa

    Tags

    transformerspytorchvisual-question-answeringarxiv:2102.03334license:apache-2.0endpoints_compatibleregion:us

    Use vilt-b32-finetuned-vqa on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, vilt-b32-finetuned-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.