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    Models/Audio Classification/ciao1122/results
    Audio Classificationtransformersapache-2.0

    results

    by ciao1122

    Identifier
    Model ID
    ciao1122/results

    Tags

    transformerstensorboardsafetensorshubertaudio-classificationgenerated_from_trainerdataset:marsyas/gtzanbase_model:ntu-spml/distilhubertbase_model:finetune:ntu-spml/distilhubertlicense:apache-2.0model-indexendpoints_compatibleregion:us

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    How It Runs on Mixpeek

    On Mixpeek, results 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.