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    Models/Zero Shot Classification/emrecan/convbert-base-turkish-mc4-cased-multinli_tr
    Zero Shot Classificationtransformersapache-2.0

    convbert-base-turkish-mc4-cased-multinli_tr

    by emrecan

    Identifier
    Model ID
    emrecan/convbert-base-turkish-mc4-cased-multinli_tr

    Tags

    transformerspytorchconvberttext-classificationzero-shot-classificationnlitrdataset:nli_trlicense:apache-2.0endpoints_compatibledeploy:azureregion:us

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    How It Runs on Mixpeek

    On Mixpeek, convbert-base-turkish-mc4-cased-multinli_tr 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.