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CMClassifier

PEFT
Safetensors
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Update README.md

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@@ -33,8 +33,7 @@ model = closedmindedness.classifier()
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  text_1 = "I will never change my mind."
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  text_2 = "What a beautiful day."
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- text_3 = "I don't understand."
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- texts = [text_1, text_2, text_3]
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  probs = model.predict(texts)
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  print(probs) # []
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  text_1 = "I will never change my mind."
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  text_2 = "What a beautiful day."
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+ texts = [text_1, text_2]
 
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  probs = model.predict(texts)
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  print(probs) # []
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