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    Models/Automatic Speech Recognition/bond005/wav2vec2-large-ru-golos
    Automatic Speech Recognitiontransformersapache-2.0

    wav2vec2-large-ru-golos

    by bond005

    61Kdl/month
    19likes
    Identifier
    Model ID
    bond005/wav2vec2-large-ru-golos

    Tags

    transformerspytorchwav2vec2automatic-speech-recognitionaudiospeechxlsr-fine-tuning-weekrudataset:SberDevices/Golosdataset:bond005/sova_rudevicesdataset:bond005/rulibrispeecharxiv:2601.18415license:apache-2.0model-indexendpoints_compatibleregion:usdeploy:azure

    Use wav2vec2-large-ru-golos 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-ru-golos 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.