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    Models/Audio Classification/mtg-upf/discogs-maest-10s-pw-129e
    Audio Classificationtransformerscc-by-nc-sa-4.0

    discogs-maest-10s-pw-129e

    by mtg-upf

    Identifier
    Model ID
    mtg-upf/discogs-maest-10s-pw-129e

    Tags

    transformerspytorchsafetensorsaudio-spectrogram-transformeraudio-classificationarxiv:2309.16418arxiv:1910.09700license:cc-by-nc-sa-4.0endpoints_compatibledeploy:azureregion:us

    Use discogs-maest-10s-pw-129e 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, discogs-maest-10s-pw-129e runs as a managed extractor inside a processing pipeline. Point a bucket of audio classification 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.