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    Models/Visual Question Answering/wumengyangok/LLaVA-SpaceSGG

    LLaVA-SpaceSGG

    by wumengyangok

    Identifier
    Model ID
    wumengyangok/LLaVA-SpaceSGG

    Tags

    safetensorsllava_llamavisual-question-answeringenarxiv:2412.06322base_model:liuhaotian/llava-v1.5-13bbase_model:finetune:liuhaotian/llava-v1.5-13blicense:apache-2.0region:us

    Use LLaVA-SpaceSGG 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, LLaVA-SpaceSGG 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.