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    Models/Summarization/pszemraj/long-t5-tglobal-base-sci-simplify
    Summarizationtransformersapache-2.0

    long-t5-tglobal-base-sci-simplify

    by pszemraj

    Identifier
    Model ID
    pszemraj/long-t5-tglobal-base-sci-simplify

    Tags

    transformerspytorchonnxsafetensorslongt5text2text-generationlay summariespaper summariesbiologymedicalsummarizationendataset:pszemraj/scientific_lay_summarisation-plos-normbase_model:google/long-t5-tglobal-basebase_model:quantized:google/long-t5-tglobal-baselicense:apache-2.0endpoints_compatibleregion:us

    Use long-t5-tglobal-base-sci-simplify 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, long-t5-tglobal-base-sci-simplify 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.