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    Models/Text Classification/MilaNLProc/bert-base-uncased-ear-misogyny
    Text Classificationtransformersgpl-3.0

    bert-base-uncased-ear-misogyny

    by MilaNLProc

    Identifier
    Model ID
    MilaNLProc/bert-base-uncased-ear-misogyny

    Tags

    transformerspytorchberttext-classificationmisogyny detectionabusive languagehate speechoffensive languageenlicense:gpl-3.0text-embeddings-inferenceendpoints_compatibleregion:usdeploy:azure

    Use bert-base-uncased-ear-misogyny on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, bert-base-uncased-ear-misogyny runs as a managed extractor inside a processing pipeline. Point a bucket of text 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.