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    Models/Question Answering/deepset/minilm-uncased-squad2
    Question Answeringtransformerscc-by-4.0

    minilm-uncased-squad2

    by deepset

    30Kdl/month
    48likes
    Identifier
    Model ID
    deepset/minilm-uncased-squad2

    Tags

    transformerspytorchjaxsafetensorsbertquestion-answeringendataset:squad_v2license:cc-by-4.0model-indexendpoints_compatibledeploy:azureregion:us

    Use minilm-uncased-squad2 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, minilm-uncased-squad2 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.