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Detects fake text with high accuracy. GPT-2 Output Detector is an online demo of a machine learning model designed to detect the authenticity of text inputs. It is based on the RoBERTa model developed by HuggingFace and OpenAI and is implemented using the /Transformers library..
This is an online demo of the GPT-2 output detector model, based on the 🤗/Transformers implementation of RoBERTa. Enter some text in the text box; the predicted probabilities will be displayed below. The results start to get reliable after around 50 tokens.
GPT-2 Output Detector Demo. This is an online demo of the GPT-2 output detector model, based on the 🤗/Transformers implementation of RoBERTa. Enter some text in the text box; the predicted probabilities will be displayed below. The results start to get reliable after around 50 tokens.
GLTR represents a visually forensic tool to detect text that was automatically generated from large language models. The aim of GLTR is to take the same models that are used to generated fake text as a tool for detection. GLTR has access to the GPT-2 117M language model from OpenAI, one of the largest publicly available models.
Scribbr’s AI Detector can confidently detect most English texts generated by popular tools like ChatGPT, Gemini, and Copilot. Our free AI Detector can detect texts written using GPT2, GPT3, and GPT3.5 with average accuracy, while our Premium AI Detector has high accuracy and the ability to detect GPT4.
Detect authenticity of text inputs with GPT-2 Output Detector, an online demo powered by HuggingFace and OpenAI's RoBERTa model. Enter text and get authenticity prediction with probabilities. Reliable after 50 tokens.
This is an online demo of the GPT-2 output detector model, based on the 🤗/Transformers implementation of RoBERTa. Enter some text in the text box; the predicted probabilities will be displayed below. The results start to get reliable after around 50 tokens.
