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    Models/Video Classification/dvs/videomae-base-finetuned-movienet-take2-finetuned-movienet-take3
    Video Classificationtransformerscc-by-nc-4.0

    videomae-base-finetuned-movienet-take2-finetuned-movienet-take3

    by dvs

    Identifier
    Model ID
    dvs/videomae-base-finetuned-movienet-take2-finetuned-movienet-take3

    Tags

    transformerspytorchtensorboardsafetensorsvideomaevideo-classificationgenerated_from_trainerbase_model:dvs/videomae-base-finetuned-movienet-take2base_model:finetune:dvs/videomae-base-finetuned-movienet-take2license:cc-by-nc-4.0endpoints_compatibleregion:us

    Use videomae-base-finetuned-movienet-take2-finetuned-movienet-take3 on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, videomae-base-finetuned-movienet-take2-finetuned-movienet-take3 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.