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    Models/Video Classification/facebook/vjepa2-vitg-fpc32-384-diving48
    Video Classificationtransformersmit

    vjepa2-vitg-fpc32-384-diving48

    by facebook

    Identifier
    Model ID
    facebook/vjepa2-vitg-fpc32-384-diving48

    Tags

    transformerssafetensorsvjepa2video-classificationvideodataset:bkprocovid19/diving48base_model:facebook/vjepa2-vitg-fpc64-384base_model:finetune:facebook/vjepa2-vitg-fpc64-384license:mitendpoints_compatibleregion:us

    Use vjepa2-vitg-fpc32-384-diving48 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, vjepa2-vitg-fpc32-384-diving48 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.