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    Models/Question Answering/distilbert/distilbert-base-uncased-distilled-squad
    Question Answeringtransformersapache-2.0

    distilbert-base-uncased-distilled-squad

    by distilbert

    67Kdl/month
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    Identifier
    Model ID
    distilbert/distilbert-base-uncased-distilled-squad

    Tags

    transformerspytorchtftflitecoremlsafetensorsdistilbertquestion-answeringendataset:squadarxiv:1910.01108arxiv:1910.09700license:apache-2.0endpoints_compatibledeploy:azureregion:us

    Use distilbert-base-uncased-distilled-squad 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, distilbert-base-uncased-distilled-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.