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    Models/Text Classification/s-nlp/russian_toxicity_classifier
    Text Classificationtransformersopenrail++

    russian_toxicity_classifier

    by s-nlp

    Identifier
    Model ID
    s-nlp/russian_toxicity_classifier

    Tags

    transformerspytorchtfsafetensorsberttext-classificationtoxic comments classificationrubase_model:DeepPavlov/rubert-base-cased-conversationalbase_model:finetune:DeepPavlov/rubert-base-cased-conversationallicense:openrail++endpoints_compatibledeploy:azureregion:us

    Use russian_toxicity_classifier 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, russian_toxicity_classifier 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.