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Model Description

This model is an artificial intelligence generated text detection model trained using real human text and AI generated text (mainly including Erine-Bot 4.0, Qwen-Turbo 4.0 and ChatGPT 3.0 )Can effectively identify whether text is generated by artificial intelligence.

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Uses

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

You could implement the model with the sample if you want to classify between AI-generated text and real-text.

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")

# 对输入进行编码并获取模型输出
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)

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Training Details

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Training Procedure

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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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