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    Models/Audio Classification/DBD-research-group/AudioProtoPNet-20-BirdSet-XCL
    Audio Classificationtransformerscc-by-nc-4.0

    AudioProtoPNet-20-BirdSet-XCL

    by DBD-research-group

    Identifier
    Model ID
    DBD-research-group/AudioProtoPNet-20-BirdSet-XCL

    Tags

    transformerssafetensorsAudioProtoNettext-classificationaudio-classificationaudiocustom_codedataset:DBD-research-group/BirdSetbase_model:facebook/convnext-base-224-22kbase_model:finetune:facebook/convnext-base-224-22klicense:cc-by-nc-4.0region:us

    Use AudioProtoPNet-20-BirdSet-XCL 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, AudioProtoPNet-20-BirdSet-XCL 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.