import { pipeline } from '@xenova/transformers';

const classifier = await pipeline('text-classification', 'nicoamoretti/roberta-openai-detector-onnx');

const result = await classifier('Your text here');
console.log(result);
// [{ label: 'Real', score: 0.95 }] - Human written
// [{ label: 'Fake', score: 0.85 }] - AI generated

Labels

Base Model: <a href="https://huggingface.co/openai-community/roberta-base-openai-detector" target="_blank" rel="noopener noreferrer" class="text-blue-400 hover:text-blue-300 underline underline-offset-2 transition-colors">openai-community/roberta-base-openai-detector
Format: ONNX (quantized to ~120MB)
Task: Binary text classification (Real vs Fake)

Label	Meaning
`Real`	Human-written text
`Fake`	AI-generated text (GPT-2 era models)

Notes

This model was originally trained to detect GPT-2 generated text. It may have reduced accuracy on text from newer models like GPT-4 or Claude, but still provides useful signal for AI detection.