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

    roberta_toxicity_classifier

    by s-nlp

    229Kdl/month
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    Identifier
    Model ID
    s-nlp/roberta_toxicity_classifier

    Tags

    transformerspytorchrobertatext-classificationtoxic comments classificationendataset:google/jigsaw_toxicity_predarxiv:1907.11692base_model:FacebookAI/roberta-largebase_model:finetune:FacebookAI/roberta-largelicense:openrail++endpoints_compatibleregion:us

    Use roberta_toxicity_classifier on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, roberta_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.