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    Models/Audio Classification/Adam-ousse/ast-cremad-finetuned

    ast-cremad-finetuned

    by Adam-ousse

    Identifier
    Model ID
    Adam-ousse/ast-cremad-finetuned

    Tags

    transformerssafetensorsaudio-spectrogram-transformeraudio-classificationaudioastcremademotion-recognitiondataset:MahiA/CREMA-Dbase_model:MIT/ast-finetuned-audioset-10-10-0.4593base_model:finetune:MIT/ast-finetuned-audioset-10-10-0.4593endpoints_compatibleregion:us

    Use ast-cremad-finetuned 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, ast-cremad-finetuned 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.