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KevSun
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Personality_LM

Text Classification
Transformers
PyTorch
roberta
Inference Endpoints
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@@ -54,5 +54,5 @@ trait_names = ["Agreeableness", "Openness", "Conscientiousness", "Extraversion",
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  for trait, score in zip(trait_names, predicted_scores):
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  print(f"{trait}: {score:.4f}")
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- ##"output": "agreeableness: 0.4600000000; openness: 0.2700000000; conscientiousness: 0.3100000000; extraversion: 0.1000000000; neuroticism: 0.8400000000"
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  ```
 
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  for trait, score in zip(trait_names, predicted_scores):
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  print(f"{trait}: {score:.4f}")
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+ ##"output": "agreeableness: 0.46; openness: 0.27; conscientiousness: 0.31; extraversion: 0.1; neuroticism: 0.84"
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  ```