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    Models/Video Classification/Chaitanya798800/videomae-large_Sports_action_recognition
    Video Classificationtransformerscc-by-nc-4.0

    videomae-large_Sports_action_recognition

    by Chaitanya798800

    Identifier
    Model ID
    Chaitanya798800/videomae-large_Sports_action_recognition

    Tags

    transformerssafetensorsvideomaevideo-classificationgenerated_from_trainerbase_model:MCG-NJU/videomae-largebase_model:finetune:MCG-NJU/videomae-largelicense:cc-by-nc-4.0endpoints_compatibleregion:us

    Use videomae-large_Sports_action_recognition 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-large_Sports_action_recognition 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.