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    Models/Summarization/patrickvonplaten/bert2bert_cnn_daily_mail
    Summarizationtransformersapache-2.0

    bert2bert_cnn_daily_mail

    by patrickvonplaten

    Identifier
    Model ID
    patrickvonplaten/bert2bert_cnn_daily_mail

    Tags

    transformerspytorchencoder-decodertext2text-generationsummarizationendataset:cnn_dailymaillicense:apache-2.0model-indexendpoints_compatibleregion:us

    Use bert2bert_cnn_daily_mail 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, bert2bert_cnn_daily_mail 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.