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    Models/Summarization/moussaKam/barthez-orangesum-abstract
    Summarizationtransformersapache-2.0

    barthez-orangesum-abstract

    by moussaKam

    Identifier
    Model ID
    moussaKam/barthez-orangesum-abstract

    Tags

    transformerspytorchmbarttext2text-generationsummarizationbartfrarxiv:2010.12321license:apache-2.0endpoints_compatibledeploy:azureregion:us

    Use barthez-orangesum-abstract 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, barthez-orangesum-abstract 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.