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    Models/Video Classification/d2o2ji/videomae-base-finetuned-kinetics-0410_final_5sec_org_ab7_val_inside_train_retry
    Video Classificationtransformerscc-by-nc-4.0

    videomae-base-finetuned-kinetics-0410_final_5sec_org_ab7_val_inside_train_retry

    by d2o2ji

    Identifier
    Model ID
    d2o2ji/videomae-base-finetuned-kinetics-0410_final_5sec_org_ab7_val_inside_train_retry

    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-0410_final_5sec_org_ab7_val_inside_train_retry on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, videomae-base-finetuned-kinetics-0410_final_5sec_org_ab7_val_inside_train_retry 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.