LimYeri
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HowRU-KoELECTRA-Emotion-Classifier

Text Classification

emotion-classification

sequence-classification

Model card Files Files and versions

LimYeri commited on Dec 3, 2025

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5991252

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1 Parent(s): da22f7e

Update README.md

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@@ -115,10 +115,10 @@ def predict_emotion(text: str):
 result = predict_emotion("오늘 정말 기분이 좋고 행복한 하루였어!")
 print(result)
 ```
-- output
-{'text': '오늘 정말 기분이 좋고 행복한 하루였어!',
-'top1_emotion': ('기쁨', 0.9994673132896423),
-'top2_emotions': [('기쁨', 0.9994673132896423), ('설렘', 0.00016128022980410606)],
 'all_probabilities': [('기쁨', 0.9994673132896423), ('설렘', 0.00016128022980410606), ('놀라움', 9.698751091491431e-05), ('평범함', 9.011557267513126e-05), ('슬픔', 5.681057518813759e-05), ('불쾌함', 5.568525739363395e-05), ('분노', 4.1339404560858384e-05), ('두려움', 3.0579918529838324e-05)]}
 ---

 result = predict_emotion("오늘 정말 기분이 좋고 행복한 하루였어!")
 print(result)
 ```
+- output<br>
+{'text': '오늘 정말 기분이 좋고 행복한 하루였어!',<br>
+'top1_emotion': ('기쁨', 0.9994673132896423),<br>
+'top2_emotions': [('기쁨', 0.9994673132896423), ('설렘', 0.00016128022980410606)],<br>
 'all_probabilities': [('기쁨', 0.9994673132896423), ('설렘', 0.00016128022980410606), ('놀라움', 9.698751091491431e-05), ('평범함', 9.011557267513126e-05), ('슬픔', 5.681057518813759e-05), ('불쾌함', 5.568525739363395e-05), ('분노', 4.1339404560858384e-05), ('두려움', 3.0579918529838324e-05)]}
 ---