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    Models/Automatic Speech Recognition/Cnam-LMSSC/wav2vec2-french-phonemizer

    wav2vec2-french-phonemizer

    by Cnam-LMSSC

    Identifier
    Model ID
    Cnam-LMSSC/wav2vec2-french-phonemizer

    Tags

    transformerspytorchsafetensorswav2vec2automatic-speech-recognitionaudiospeechphonemizephonemefrdataset:mozilla-foundation/common_voice_13_0arxiv:2006.11477doi:10.57967/hf/1339license:mitmodel-indexendpoints_compatibledeploy:azureregion:us

    Use wav2vec2-french-phonemizer 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-french-phonemizer 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.