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    Models/Audio Classification/alkiskoudounas/xls-r-53-it-italic-speaker
    Audio Classificationtransformersapache-2.0

    xls-r-53-it-italic-speaker

    by alkiskoudounas

    Identifier
    Model ID
    alkiskoudounas/xls-r-53-it-italic-speaker

    Tags

    transformerspytorchwav2vec2audio-classificationintentintent-classificationaudioitdataset:RiTA-nlp/ITALICarxiv:2306.08502base_model:jonatasgrosman/wav2vec2-large-xlsr-53-italianbase_model:finetune:jonatasgrosman/wav2vec2-large-xlsr-53-italianlicense:apache-2.0endpoints_compatibleregion:us

    Use xls-r-53-it-italic-speaker 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, xls-r-53-it-italic-speaker 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.