This Hugging Face model is a fine-tuned RoBERTa classifier trained to distinguish between human-written and AI-generated text, particularly from OpenAI models. It is provided as an open-source model card with support for multiple frameworks and can be used via the Transformers library or cloud inference endpoints.
Roberta Base Openai Detector sits in PulseGate's Other AI category. It focuses on detecting whether a piece of text was generated by an AI model such as GPT. Roberta Base Openai Detector is an open-source project aimed at developers. The project is open source (MIT). The product ships for the web and API, and it can be self-hosted.
Behind Roberta Base Openai Detector is OpenAI Community, based in the United States, and the product first shipped in 2019. The GitHub repository has been archived. Among its 3 catalogued features are Text Classification, AI Text Detection, and RoBERTa Architecture. It exposes integrations via a public API.
Latest indexed changes and source events
openai-community/roberta-base-openai-detector verified by the PulseGate indexer
⚠ Archived