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    Models/Automatic Speech Recognition/jonatasgrosman/wav2vec2-large-xlsr-53-english
    Automatic Speech Recognitiontransformersapache-2.0

    wav2vec2-large-xlsr-53-english

    by jonatasgrosman

    Identifier
    Model ID
    jonatasgrosman/wav2vec2-large-xlsr-53-english

    Deploy wav2vec2-large-xlsr-53-english

    Single-tenant

    Mixpeek has no managed extractor for this model. On a single-tenant deployment you upload the weights and a custom plugin serves them next to the rest of your pipeline.

    Tags

    transformerspytorchjaxsafetensorswav2vec2automatic-speech-recognitionaudioenhf-asr-leaderboardmozilla-foundation/common_voice_6_0robust-speech-eventspeechxlsr-fine-tuning-weekdataset:common_voicedataset:mozilla-foundation/common_voice_6_0doi:10.57967/hf/3569license:apache-2.0model-indexendpoints_compatibleregion:usdeploy:azure

    Use wav2vec2-large-xlsr-53-english 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, wav2vec2-large-xlsr-53-english 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.