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CMClassifier

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Safetensors
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Update README.md

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@@ -32,10 +32,11 @@ import closedmindedness
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  model = closedmindedness.classifier()
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  text_1 = "Nothing can make me change my mind."
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- text_2 = "I went to the movies yesterday."
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- texts = [text_1, text_2]
 
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  probs = model.predict(texts)
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- print(probs) # [9.71055567e-01 3.33786011e-06]
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  prob = model.predict(text_1)
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  print(prob) # [0.97105557]
 
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  model = closedmindedness.classifier()
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  text_1 = "Nothing can make me change my mind."
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+ text_2 = "Let's discuss this."
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+ text_3 = "I went to the movies yesterday."
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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) # [9.71055567e-01 1.70469284e-05 3.33786011e-06]
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  prob = model.predict(text_1)
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  print(prob) # [0.97105557]