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    Models/Automatic Speech Recognition/comodoro/wav2vec2-xls-r-300m-cs-250
    Automatic Speech Recognitiontransformersapache-2.0

    wav2vec2-xls-r-300m-cs-250

    by comodoro

    1.2Mdl/month
    3likes
    Identifier
    Model ID
    comodoro/wav2vec2-xls-r-300m-cs-250

    Tags

    transformerspytorchsafetensorswav2vec2automatic-speech-recognitiongenerated_from_trainerhf-asr-leaderboardmozilla-foundation/common_voice_8_0robust-speech-eventxlsr-fine-tuning-weekcsdataset:mozilla-foundation/common_voice_8_0dataset:ovmdataset:pscrdataset:vystadial2016base_model:facebook/wav2vec2-xls-r-300mbase_model:finetune:facebook/wav2vec2-xls-r-300mlicense:apache-2.0model-indexendpoints_compatibleregion:us

    Use wav2vec2-xls-r-300m-cs-250 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-xls-r-300m-cs-250 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.