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    Models/Depth Estimation/Onegafer/glpn-nyu-finetuned-diode-230530-200638
    Depth Estimationtransformers

    glpn-nyu-finetuned-diode-230530-200638

    by Onegafer

    Identifier
    Model ID
    Onegafer/glpn-nyu-finetuned-diode-230530-200638

    Tags

    transformerspytorchglpndepth-estimationendpoints_compatibleregion:us

    Use glpn-nyu-finetuned-diode-230530-200638 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, glpn-nyu-finetuned-diode-230530-200638 runs as a managed extractor inside a processing pipeline. Point a bucket of depth estimation 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.