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    Models/Summarization/philschmid/bart-large-cnn-samsum
    Summarizationtransformersmit

    bart-large-cnn-samsum

    by philschmid

    144Kdl/month
    268likes
    Identifier
    Model ID
    philschmid/bart-large-cnn-samsum

    Tags

    transformerspytorchbarttext2text-generationsagemakersummarizationendataset:samsumlicense:mitmodel-indexendpoints_compatibledeploy:azureregion:us

    Use bart-large-cnn-samsum 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, bart-large-cnn-samsum 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.