The GPT-2 Output Detector is an online demo of a model designed for detecting real and fake text outputs based on the /Transformers implementation of RoBERTa. Users can input text into a textbox, and the model will display predicted probabilities below, with reliable results typically achieved after around 50 tokens. The tool aims to distinguish between genuine and generated text. For further details, visit the provided GitHub link for the GPT-2 output detector .
The GPT-2 Output Detector was created based on the /Transformers implementation of RoBERTa. The details regarding the founder and company behind this project are not explicitly mentioned in the provided file. For further information on the GPT-2 output detector and related projects, you can explore the following sources:
Unfortunately, the specific details about the founder and company behind the GPT-2 Output Detector are not included in the document provided. If you require more information on this topic, additional sources or research may be necessary.
To use the GPT-2 Output Detector, follow these steps:
By following these steps, you can effectively use the GPT-2 Output Detector tool to analyze and classify text inputs as real or fake.
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