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    Models/Video Classification/OpenGVLab/VideoMAEv2-Base

    VideoMAEv2-Base

    by OpenGVLab

    Identifier
    Model ID
    OpenGVLab/VideoMAEv2-Base

    Tags

    safetensorsVideoMAEv2_Basevisionvideo-classificationcustom_codearxiv:2203.12602arxiv:2303.16727license:cc-by-nc-4.0region:us

    Use VideoMAEv2-Base 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, VideoMAEv2-Base 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.