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    Models/Automatic Speech Recognition/kingabzpro/wav2vec2-large-xlsr-53-punjabi
    Automatic Speech Recognitiontransformersapache-2.0

    wav2vec2-large-xlsr-53-punjabi

    by kingabzpro

    251Kdl/month
    4likes
    Identifier
    Model ID
    kingabzpro/wav2vec2-large-xlsr-53-punjabi

    Tags

    transformerspytorchtensorboardsafetensorswav2vec2automatic-speech-recognitionhf-asr-leaderboardrobust-speech-eventpadataset:mozilla-foundation/common_voice_8_0base_model:Harveenchadha/vakyansh-wav2vec2-punjabi-pam-10base_model:finetune:Harveenchadha/vakyansh-wav2vec2-punjabi-pam-10license:apache-2.0model-indexendpoints_compatibleregion:us

    Use wav2vec2-large-xlsr-53-punjabi 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-punjabi 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.