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    Models/Video Classification/TanAlexanderlz/Buatan-Finetuned-UCF_NoCrop-Aug-4B16F
    Video Classificationtransformerscc-by-nc-4.0

    Buatan-Finetuned-UCF_NoCrop-Aug-4B16F

    by TanAlexanderlz

    Identifier
    Model ID
    TanAlexanderlz/Buatan-Finetuned-UCF_NoCrop-Aug-4B16F

    Tags

    transformerstensorboardsafetensorsvideomaevideo-classificationgenerated_from_trainerbase_model:TanAlexanderlz/3_Buatan_RGBCROP-Aug-8B16Fbase_model:finetune:TanAlexanderlz/3_Buatan_RGBCROP-Aug-8B16Flicense:cc-by-nc-4.0endpoints_compatibleregion:us

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    How It Runs on Mixpeek

    On Mixpeek, Buatan-Finetuned-UCF_NoCrop-Aug-4B16F runs as a managed extractor inside a processing pipeline. Point a bucket of video 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.