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    Models/Audio Classification/hzhongresearch/yamnetp_ahead_ds
    Audio Classificationkerascc-by-sa-4.0

    yamnetp_ahead_ds

    by hzhongresearch

    Identifier
    Model ID
    hzhongresearch/yamnetp_ahead_ds

    Tags

    kerastflitetf-kerasaudioaudio-classificationenarxiv:2508.10360license:cc-by-sa-4.0region:us

    Use yamnetp_ahead_ds 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, yamnetp_ahead_ds 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.