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    Models/Audio Classification/Krithika-p/my_awesome_emotions_model
    Audio Classificationtransformersapache-2.0

    my_awesome_emotions_model

    by Krithika-p

    Identifier
    Model ID
    Krithika-p/my_awesome_emotions_model

    Tags

    transformerstensorboardsafetensorswav2vec2audio-classificationgenerated_from_trainerdataset:audiofolderbase_model:facebook/wav2vec2-basebase_model:finetune:facebook/wav2vec2-baselicense:apache-2.0model-indexendpoints_compatibleregion:us

    Use my_awesome_emotions_model 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, my_awesome_emotions_model 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.