klue-roberta-large-ai-detect
Model Details
2025 SWμ€μ¬λν λμ§νΈ κ²½μ§λν : AIλΆλ¬Έ : μμ±ν AI(LLM)μ μΈκ° : ν
μ€νΈ νλ³ μ±λ¦°μ§ μμμ
μ΄ λͺ¨λΈμ νμ±λνκ΅ SWμ€μ¬λνμ¬μ
λ¨μΌλ‘λΆν° νμ λ°μ Cloud GPU λ‘ νμ΅λμμ΅λλ€.
How to Get Started with the Model
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("klue/roberta-large")
model = AutoModelForSequenceClassification.from_pretrained("hyun5ooo/klue-roberta-large-ai-detect")
inputs = tokenizer("μλ
, μΈμ!", return_tensors="pt")
outputs = model(**inputs)
Evaluation
2025 SWμ€μ¬λν λμ§νΈ κ²½μ§λν : AIλΆλ¬Έ / Public 리λ보λ κΈ°μ€
Model | roc-auc |
---|---|
deberta base | 0.903 |
deberta xlarge | 0.904 |
mdeberta base | 0.894 |
koelectra base | 0.894 |
klue roberta large | 0.892 |
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