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    Models/Automatic Speech Recognition/facebook/wav2vec2-large-960h-lv60
    Automatic Speech Recognitiontransformersapache-2.0

    wav2vec2-large-960h-lv60

    by facebook

    Identifier
    Model ID
    facebook/wav2vec2-large-960h-lv60

    Tags

    transformerspytorchjaxwav2vec2automatic-speech-recognitionspeechendataset:librispeech_asrarxiv:2006.11477license:apache-2.0model-indexendpoints_compatibledeploy:azureregion:us

    Use wav2vec2-large-960h-lv60 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, wav2vec2-large-960h-lv60 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.