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    Models/Feature Extraction/OpenMOSS-Team/MOSS-Audio-Tokenizer-Nano
    Feature Extractiontransformersapache-2.0

    MOSS-Audio-Tokenizer-Nano

    by OpenMOSS-Team

    Identifier
    Model ID
    OpenMOSS-Team/MOSS-Audio-Tokenizer-Nano

    Deploy MOSS-Audio-Tokenizer-Nano

    Single-tenant

    Mixpeek has no managed extractor for this model. On a single-tenant deployment you upload the weights and a custom plugin serves them next to the rest of your pipeline.

    Tags

    transformerssafetensorsmoss-audio-tokenizerfeature-extractionaudioaudio-tokenizerneural-codecmoss-tts-familyMOSS Audio Tokenizer Nanospeech-tokenizertrust-remote-codecustom_codearxiv:2602.10934arxiv:2603.18090license:apache-2.0region:us

    Use MOSS-Audio-Tokenizer-Nano 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, MOSS-Audio-Tokenizer-Nano runs as a managed extractor inside a processing pipeline. Point a bucket of feature extraction 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.