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    Models/Video Classification/jialicheng/unlearn-cl_ucf101_videomae-base_salun_2_42

    unlearn-cl_ucf101_videomae-base_salun_2_42

    by jialicheng

    Identifier
    Model ID
    jialicheng/unlearn-cl_ucf101_videomae-base_salun_2_42

    Tags

    safetensorsvideomaevideo-classificationgenerated_from_trainerbase_model:MCG-NJU/videomae-basebase_model:finetune:MCG-NJU/videomae-baselicense:cc-by-nc-4.0region:us

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    How It Runs on Mixpeek

    On Mixpeek, unlearn-cl_ucf101_videomae-base_salun_2_42 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.