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    Models/Summarization/dltsj/mt5-small-finetuned-on-mT5-lcsts
    Summarizationtransformersapache-2.0

    mt5-small-finetuned-on-mT5-lcsts

    by dltsj

    Identifier
    Model ID
    dltsj/mt5-small-finetuned-on-mT5-lcsts

    Tags

    transformerspytorchtensorboardmt5text2text-generationsummarizationgenerated_from_trainerlicense:apache-2.0endpoints_compatibleregion:us

    Use mt5-small-finetuned-on-mT5-lcsts on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, mt5-small-finetuned-on-mT5-lcsts runs as a managed extractor inside a processing pipeline. Point a bucket of summarization 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.