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    Models/Summarization/utrobinmv/t5_summary_en_ru_zh_large_2048
    Summarizationapache-2.0

    t5_summary_en_ru_zh_large_2048

    by utrobinmv

    Identifier
    Model ID
    utrobinmv/t5_summary_en_ru_zh_large_2048

    Tags

    safetensorst5summarizationtext2text-generationenruzhbase_model:utrobinmv/t5_translate_en_ru_zh_large_1024_v2base_model:finetune:utrobinmv/t5_translate_en_ru_zh_large_1024_v2license:apache-2.0region:us

    Use t5_summary_en_ru_zh_large_2048 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, t5_summary_en_ru_zh_large_2048 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.