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    Models/Audio Classification/mo-thecreator/Deepfake-audio-detection
    Audio Classificationtransformersapache-2.0

    Deepfake-audio-detection

    by mo-thecreator

    Identifier
    Model ID
    mo-thecreator/Deepfake-audio-detection

    Tags

    transformerstensorboardsafetensorswav2vec2audio-classificationgenerated_from_trainerbase_model:mo-thecreator/wav2vec2-base-finetunedbase_model:finetune:mo-thecreator/wav2vec2-base-finetunedlicense:apache-2.0endpoints_compatibleregion:us

    Use Deepfake-audio-detection 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, Deepfake-audio-detection runs as a managed extractor inside a processing pipeline. Point a bucket of audio classification 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.