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						1f0b9e3
	
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							a65a409
								
Update README.md
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        README.md
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         @@ -56,7 +56,7 @@ scores = softmax(scores) 
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            # model = TFAutoModelForSequenceClassification.from_pretrained(MODEL)
         
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            # model.save_pretrained(MODEL)
         
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            # text = " 
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            # encoded_input = tokenizer(text, return_tensors='tf')
         
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            # output = model(encoded_input)
         
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            # scores = output[0][0].numpy()
         
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            # model = TFAutoModelForSequenceClassification.from_pretrained(MODEL)
         
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            # model.save_pretrained(MODEL)
         
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            # text = "Celebrating my promotion 😎"
         
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            # encoded_input = tokenizer(text, return_tensors='tf')
         
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            # output = model(encoded_input)
         
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            # scores = output[0][0].numpy()
         
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