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    Models/Audio Classification/AmeerHesham/distilhubert-finetuned-baby_cry
    Audio Classificationtransformersapache-2.0

    distilhubert-finetuned-baby_cry

    by AmeerHesham

    Identifier
    Model ID
    AmeerHesham/distilhubert-finetuned-baby_cry

    Tags

    transformerstensorboardsafetensorshubertaudio-classificationaudiodistilhubertbaby-cryinfantGenerated from Trainerendataset:Nooon/Donate_a_crybase_model:ntu-spml/distilhubertbase_model:finetune:ntu-spml/distilhubertlicense:apache-2.0endpoints_compatibleregion:us

    Use distilhubert-finetuned-baby_cry on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, distilhubert-finetuned-baby_cry 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.