deberta-v3-base-korean-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("team-lucid/deberta-v3-base-korean")
model = AutoModelForSequenceClassification.from_pretrained("hyun5ooo/deberta-v3-base-korean-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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Base model
team-lucid/deberta-v3-base-korean