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    Models/Video Classification/TanAlexanderlz/RALL_RGBCROP_ori32F-8B32F
    Video Classificationtransformerscc-by-nc-4.0

    RALL_RGBCROP_ori32F-8B32F

    by TanAlexanderlz

    Identifier
    Model ID
    TanAlexanderlz/RALL_RGBCROP_ori32F-8B32F

    Tags

    transformerstensorboardsafetensorsvideomaevideo-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 RALL_RGBCROP_ori32F-8B32F 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, RALL_RGBCROP_ori32F-8B32F 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.