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    Models/Video Classification/thegigasurgeon/mopping_300_16_frames_resampling_4_large

    mopping_300_16_frames_resampling_4_large

    by thegigasurgeon

    Identifier
    Model ID
    thegigasurgeon/mopping_300_16_frames_resampling_4_large

    Tags

    transformerspytorchtensorboardvideomaevideo-classificationendpoints_compatibleregion:us

    Use mopping_300_16_frames_resampling_4_large 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, mopping_300_16_frames_resampling_4_large 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.