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    Models/Automatic Speech Recognition/carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h
    Automatic Speech Recognitiontransformerscc-by-4.0

    wav2vec2-large-xlsr-53-faroese-100h

    by carlosdanielhernandezmena

    Identifier
    Model ID
    carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h

    Tags

    transformerspytorchwav2vec2automatic-speech-recognitionaudiofaroesexlrs-53-faroeseravnur-projectfaroe-islandsfodataset:carlosdanielhernandezmena/ravnursson_asrlicense:cc-by-4.0model-indexendpoints_compatibleregion:us

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    How It Runs on Mixpeek

    On Mixpeek, wav2vec2-large-xlsr-53-faroese-100h runs as a managed extractor inside a processing pipeline. Point a bucket of automatic speech recognition 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.