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    Models/Text Classification/openai-community/roberta-base-openai-detector
    Text Classificationtransformersmit

    roberta-base-openai-detector

    by openai-community

    Identifier
    Model ID
    openai-community/roberta-base-openai-detector

    Tags

    transformerspytorchtfjaxsafetensorsrobertatext-classificationexbertendataset:bookcorpusdataset:wikipediaarxiv:1904.09751arxiv:1910.09700arxiv:1908.09203license:mittext-embeddings-inferenceendpoints_compatibledeploy:azureregion:us

    Use roberta-base-openai-detector 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-base-openai-detector 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.