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    Models/Automatic Speech Recognition/KBLab/wav2vec2-large-xlsr-53-swedish
    Automatic Speech Recognitiontransformersapache-2.0

    wav2vec2-large-xlsr-53-swedish

    by KBLab

    Identifier
    Model ID
    KBLab/wav2vec2-large-xlsr-53-swedish

    Tags

    transformerspytorchjaxwav2vec2automatic-speech-recognitionaudiospeechxlsr-fine-tuning-weeksvdataset:common_voicedataset:KTH/nstlicense:apache-2.0model-indexendpoints_compatibleregion:usdeploy:azure

    Use wav2vec2-large-xlsr-53-swedish 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-swedish 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.