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    Models/Zero Shot Classification/maxwlnd/socialgroup_stance_classification_nli

    socialgroup_stance_classification_nli

    by maxwlnd

    Identifier
    Model ID
    maxwlnd/socialgroup_stance_classification_nli

    Tags

    transformerssafetensorsdeberta-v2text-classificationdebertadeberta-v3stance-classificationnlizero-shot-classificationpolitical-sciencesocial-groupsparliamentary-debatesenbase_model:MoritzLaurer/deberta-v3-base-zeroshot-v2.0base_model:finetune:MoritzLaurer/deberta-v3-base-zeroshot-v2.0license:mitendpoints_compatibleregion:us

    Use socialgroup_stance_classification_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, socialgroup_stance_classification_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.