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    Models/Audio Classification/hanxunh/AudioMosaic-vit-b16-finetune-as2m
    Audio ClassificationAudioMosaicmit

    AudioMosaic-vit-b16-finetune-as2m

    by hanxunh

    Identifier
    Model ID
    hanxunh/AudioMosaic-vit-b16-finetune-as2m

    Tags

    AudioMosaicsafetensorsarxiv:2605.14231audioaudio-classificationaudiosetself-supervised-learningbase_model:hanxunh/AudioMosaic-vit-b16-pretrainedbase_model:finetune:hanxunh/AudioMosaic-vit-b16-pretrainedlicense:mitmodel-indexregion:us

    Use AudioMosaic-vit-b16-finetune-as2m 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, AudioMosaic-vit-b16-finetune-as2m 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.