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    Models/Question Answering/johnjose223/xlnet_squad
    Question Answeringtransformersmit

    xlnet_squad

    by johnjose223

    Identifier
    Model ID
    johnjose223/xlnet_squad

    Tags

    transformerspytorchxlnetquestion-answeringgenerated_from_trainerdataset:squadbase_model:xlnet/xlnet-large-casedbase_model:finetune:xlnet/xlnet-large-casedlicense:mitendpoints_compatibleregion:us

    Use xlnet_squad 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, xlnet_squad 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.