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    Models/Video Classification/Sapezb/ViVitTrained-ABAW
    Video Classificationtransformersmit

    ViVitTrained-ABAW

    by Sapezb

    Identifier
    Model ID
    Sapezb/ViVitTrained-ABAW

    Tags

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

    Use ViVitTrained-ABAW 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, ViVitTrained-ABAW 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.