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    Models/Visual Question Answering/Keetawan/BLIP2SeaLLMs-1.5B_COCO

    BLIP2SeaLLMs-1.5B_COCO

    by Keetawan

    Identifier
    Model ID
    Keetawan/BLIP2SeaLLMs-1.5B_COCO

    Tags

    transformersblip-2visual-question-answeringendpoints_compatibleregion:us

    Use BLIP2SeaLLMs-1.5B_COCO 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, BLIP2SeaLLMs-1.5B_COCO 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.