NEWVectors or files. Pick a path.Start →
    Models/Audio Classification/dima806/multiple_accent_classification
    Audio Classificationtransformersapache-2.0

    multiple_accent_classification

    by dima806

    Identifier
    Model ID
    dima806/multiple_accent_classification

    Tags

    transformerspytorchsafetensorswav2vec2audio-classificationbase_model:facebook/wav2vec2-base-960hbase_model:finetune:facebook/wav2vec2-base-960hlicense:apache-2.0endpoints_compatibleregion:us

    Use multiple_accent_classification 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, multiple_accent_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.