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KevSun
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Personality_LM

Text Classification
Transformers
PyTorch
roberta
Inference Endpoints
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Update README.md

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@@ -50,5 +50,6 @@ trait_names = ["Agreeableness", "Openness", "Conscientiousness", "Extraversion",
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  # Print the predicted personality traits scores
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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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- ```
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- ##"output": "agreeableness: 0.4600000000; openness: 0.2700000000; conscientiousness: 0.3100000000; extraversion: 0.1000000000; neuroticism: 0.8400000000"
 
 
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  # Print the predicted personality traits scores
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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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+
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+ ##"output": "agreeableness: 0.4600000000; openness: 0.2700000000; conscientiousness: 0.3100000000; extraversion: 0.1000000000; neuroticism: 0.8400000000"
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+ ```