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    Models/Summarization/LeoCordoba/mt5-small-cc-news-es-titles
    Summarizationtransformersapache-2.0

    mt5-small-cc-news-es-titles

    by LeoCordoba

    Identifier
    Model ID
    LeoCordoba/mt5-small-cc-news-es-titles

    Tags

    transformerspytorchmt5text2text-generationsummarizationspanishesdataset:LeoCordoba/CC-NEWS-ES-titleslicense:apache-2.0model-indexendpoints_compatibleregion:us

    Use mt5-small-cc-news-es-titles 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, mt5-small-cc-news-es-titles 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.