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    Models/Audio Classification/abdulelahagr/speech-emotion-recognition-wav2vec2
    Audio Classificationtransformersapache-2.0

    speech-emotion-recognition-wav2vec2

    by abdulelahagr

    Identifier
    Model ID
    abdulelahagr/speech-emotion-recognition-wav2vec2

    Tags

    transformerstensorboardsafetensorswav2vec2audio-classificationgenerated_from_trainerbase_model:jonatasgrosman/wav2vec2-large-xlsr-53-englishbase_model:finetune:jonatasgrosman/wav2vec2-large-xlsr-53-englishlicense:apache-2.0endpoints_compatibleregion:us

    Use speech-emotion-recognition-wav2vec2 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, speech-emotion-recognition-wav2vec2 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.