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    Models/Image Segmentation/Diamantis99/2m4pELu
    Image Segmentationsegmentation-models-pytorchmit

    2m4pELu

    by Diamantis99

    Identifier
    Model ID
    Diamantis99/2m4pELu

    Tags

    segmentation-models-pytorchsafetensorsmodel_hub_mixinpytorch_model_hub_mixinsemantic-segmentationpytorchimage-segmentationlicense:mitregion:us

    Use 2m4pELu 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, 2m4pELu runs as a managed extractor inside a processing pipeline. Point a bucket of image segmentation 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.