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    Models/Zero Shot Classification/typeform/distilbert-base-uncased-mnli

    distilbert-base-uncased-mnli

    by typeform

    147Kdl/month
    45likes
    Identifier
    Model ID
    typeform/distilbert-base-uncased-mnli

    Tags

    transformerspytorchtfsafetensorsdistilberttext-classificationzero-shot-classificationendataset:multi_nliarxiv:1910.09700arxiv:2105.09680endpoints_compatibledeploy:azureregion:us

    Use distilbert-base-uncased-mnli 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-mnli runs as a managed extractor inside a processing pipeline. Point a bucket of zero shot classification 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.