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    Models/Audio Classification/AGI-Eval/Auto-ATT
    Audio Classificationtransformersapache-2.0

    Auto-ATT

    by AGI-Eval

    Identifier
    Model ID
    AGI-Eval/Auto-ATT

    Tags

    transformerssafetensorsqwen2_audiotext2text-generationaudio-classificationzhdataset:Meituan/Audio-Turing-Test-Audiosdataset:Meituan/Audio-Turing-Test-Corpusbase_model:Qwen/Qwen2-Audio-7B-Instructbase_model:finetune:Qwen/Qwen2-Audio-7B-Instructlicense:apache-2.0endpoints_compatibleregion:us

    Use Auto-ATT 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, Auto-ATT 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.