🚀 Model Card for Model ID
This model is an AI - generated text detection model. It can effectively identify whether text is generated by artificial intelligence, trained using real human text and AI - generated text (mainly including Erine - Bot 4.0, Qwen - Turbo 4.0, and ChatGPT 3.0).
🚀 Quick Start
If you want to classify between AI - generated text and real - text, you can implement the model with the following sample:
from transformers import AutoTokenizer,AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Juner/AI-generated-text-detection-pair")
model = AutoModelForSequenceClassification.from_pretrained("Juner/AI-generated-text-detection-pair")
question = "你喜欢我吗？"
answer = "是的！我喜欢你！"
inputs = tokenizer(question+answer,padding =True,truncation=True,return_tensors="pt",max_length=512)
outputs = model(**inputs)
✨ Features
- Can effectively identify whether text is generated by artificial intelligence.
📚 Documentation
Model Details
Model Description
This model is an artificial intelligence generated text detection model. It is trained using real human text and AI generated text (mainly including Erine - Bot 4.0, Qwen - Turbo 4.0 and ChatGPT 3.0). It can effectively identify whether text is generated by artificial intelligence.
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Training Details
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Summary
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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