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    Models/Video Classification/d2o2ji/videomae-base-finetuned-kinetics-0417_final_5sec_org_ab7_val_inside_train_balanced_allpretest_re
    Video Classificationtransformerscc-by-nc-4.0

    videomae-base-finetuned-kinetics-0417_final_5sec_org_ab7_val_inside_train_balanced_allpretest_re

    by d2o2ji

    Identifier
    Model ID
    d2o2ji/videomae-base-finetuned-kinetics-0417_final_5sec_org_ab7_val_inside_train_balanced_allpretest_re

    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-0417_final_5sec_org_ab7_val_inside_train_balanced_allpretest_re 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-0417_final_5sec_org_ab7_val_inside_train_balanced_allpretest_re 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.