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    Models/Zero Shot Classification/AyoubChLin/distilBART-mnli-cnn_news
    Zero Shot Classificationtransformersapache-2.0

    distilBART-mnli-cnn_news

    by AyoubChLin

    Identifier
    Model ID
    AyoubChLin/distilBART-mnli-cnn_news

    Tags

    transformerspytorchsafetensorsbarttext-classificationzero shottext classificationnews classificationzero-shot-classificationendataset:AyoubChLin/CNN_News_Articles_2011-2022license:apache-2.0endpoints_compatibledeploy:azureregion:us

    Use distilBART-mnli-cnn_news 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, distilBART-mnli-cnn_news 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.