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    Models/Video Classification/Shawon16/ViViT_Quality_check_10class
    Video Classificationtransformersmit

    ViViT_Quality_check_10class

    by Shawon16

    Identifier
    Model ID
    Shawon16/ViViT_Quality_check_10class

    Tags

    transformerssafetensorsvivitvideo-classificationgenerated_from_trainerbase_model:google/vivit-b-16x2-kinetics400base_model:finetune:google/vivit-b-16x2-kinetics400license:mitendpoints_compatibleregion:us

    Use ViViT_Quality_check_10class 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, ViViT_Quality_check_10class 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.