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    Models/Video Classification/d2o2ji/videomae-base-finetuned-kinetics-allkisa-crop-background-0312-clip_duration-abnormal09
    Video Classificationtransformerscc-by-nc-4.0

    videomae-base-finetuned-kinetics-allkisa-crop-background-0312-clip_duration-abnormal09

    by d2o2ji

    Identifier
    Model ID
    d2o2ji/videomae-base-finetuned-kinetics-allkisa-crop-background-0312-clip_duration-abnormal09

    Tags

    transformerssafetensorsvideomaevideo-classificationgenerated_from_trainerbase_model:MCG-NJU/videomae-base-finetuned-kineticsbase_model:finetune:MCG-NJU/videomae-base-finetuned-kineticslicense:cc-by-nc-4.0endpoints_compatibleregion:us

    Use videomae-base-finetuned-kinetics-allkisa-crop-background-0312-clip_duration-abnormal09 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, videomae-base-finetuned-kinetics-allkisa-crop-background-0312-clip_duration-abnormal09 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.