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    Models/Automatic Speech Recognition/reazon-research/japanese-wav2vec2-large-rs35kh
    Automatic Speech Recognitiontransformersapache-2.0

    japanese-wav2vec2-large-rs35kh

    by reazon-research

    Identifier
    Model ID
    reazon-research/japanese-wav2vec2-large-rs35kh

    Tags

    transformerssafetensorswav2vec2automatic-speech-recognitionjadataset:reazon-research/reazonspeechbase_model:reazon-research/japanese-wav2vec2-largebase_model:finetune:reazon-research/japanese-wav2vec2-largelicense:apache-2.0endpoints_compatibledeploy:azureregion:us

    Use japanese-wav2vec2-large-rs35kh 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, japanese-wav2vec2-large-rs35kh 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.