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    Models/Question Answering/luhua/chinese_pretrain_mrc_roberta_wwm_ext_large
    Question Answeringtransformersapache-2.0

    chinese_pretrain_mrc_roberta_wwm_ext_large

    by luhua

    Identifier
    Model ID
    luhua/chinese_pretrain_mrc_roberta_wwm_ext_large

    Tags

    transformerspytorchbertquestion-answeringzhlicense:apache-2.0endpoints_compatibledeploy:azureregion:us

    Use chinese_pretrain_mrc_roberta_wwm_ext_large 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, chinese_pretrain_mrc_roberta_wwm_ext_large runs as a managed extractor inside a processing pipeline. Point a bucket of question answering 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.