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    Models/Depth Estimation/hf-tiny-model-private/tiny-random-GLPNForDepthEstimation
    Depth Estimationtransformers

    tiny-random-GLPNForDepthEstimation

    by hf-tiny-model-private

    Identifier
    Model ID
    hf-tiny-model-private/tiny-random-GLPNForDepthEstimation

    Tags

    transformerspytorchglpndepth-estimationendpoints_compatibleregion:us

    Use tiny-random-GLPNForDepthEstimation 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, tiny-random-GLPNForDepthEstimation 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.