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

    wav2vec2-large-xlsr-53-persian

    by jonatasgrosman

    825Kdl/month
    28likes
    Identifier
    Model ID
    jonatasgrosman/wav2vec2-large-xlsr-53-persian

    Tags

    transformerspytorchjaxwav2vec2automatic-speech-recognitionaudiospeechxlsr-fine-tuning-weekfadataset:common_voicedoi:10.57967/hf/3576license:apache-2.0model-indexendpoints_compatibleregion:usdeploy:azure

    Use wav2vec2-large-xlsr-53-persian 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-xlsr-53-persian 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.