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    Models/Zero Shot Classification/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7

    mDeBERTa-v3-base-xnli-multilingual-nli-2mil7

    by MoritzLaurer

    312Kdl/month
    376likes
    Identifier
    Model ID
    MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7

    Tags

    transformerspytorchonnxsafetensorsdeberta-v2text-classificationzero-shot-classificationnlimultilingualzhjaarkodefrespthiidittrrubnurmrtavifapluk

    Use mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 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.