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    Models/Audio Classification/StanislavKo28/music_moods_classification

    music_moods_classification

    by StanislavKo28

    Identifier
    Model ID
    StanislavKo28/music_moods_classification

    Tags

    pytorchsafetensorswav2vec2audio-classificationbase_model:facebook/wav2vec2-base-960hbase_model:finetune:facebook/wav2vec2-base-960hlicense:apache-2.0region:us

    Use music_moods_classification 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, music_moods_classification 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.