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    Models/Audio Classification/gaunernst/vit_base_patch16_1024_128.audiomae_as2m_ft_as20k

    vit_base_patch16_1024_128.audiomae_as2m_ft_as20k

    by gaunernst

    Identifier
    Model ID
    gaunernst/vit_base_patch16_1024_128.audiomae_as2m_ft_as20k

    Tags

    timmpytorchsafetensorsaudio-classificationarxiv:2207.06405license:cc-by-4.0region:us

    Use vit_base_patch16_1024_128.audiomae_as2m_ft_as20k 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, vit_base_patch16_1024_128.audiomae_as2m_ft_as20k 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.