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    Models/Zero Shot Classification/AntoineBlanot/roberta-nli

    roberta-nli

    by AntoineBlanot

    Identifier
    Model ID
    AntoineBlanot/roberta-nli

    Tags

    transformerspytorchrobertafeature-extractionzero-shot-classificationendataset:multi_nlidataset:snlidataset:scitailendpoints_compatibleregion:us

    Use roberta-nli 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, roberta-nli 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.