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Update README.md

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@@ -35,9 +35,9 @@ tokenizer = AutoTokenizer.from_pretrained("DAMO-NLP-SG/zero-shot-classify-SSTuni
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  model = AutoModelForSequenceClassification.from_pretrained("DAMO-NLP-SG/zero-shot-classify-SSTuning-base")
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  text = "I love this place! The food is always so fresh and delicious."
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-
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  list_label = ["negative","positve"]
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  def add_prefix(text, list_label, label_num = 20, shuffle = False):
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  list_label = [x+'.' if x[-1] != '.' else x for x in list_label]
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  list_label_new = list_label + [tokenizer.pad_token]* (label_num - len(list_label))
 
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  model = AutoModelForSequenceClassification.from_pretrained("DAMO-NLP-SG/zero-shot-classify-SSTuning-base")
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  text = "I love this place! The food is always so fresh and delicious."
 
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  list_label = ["negative","positve"]
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+ list_ABC = [x for x in string.ascii_uppercase]
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  def add_prefix(text, list_label, label_num = 20, shuffle = False):
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  list_label = [x+'.' if x[-1] != '.' else x for x in list_label]
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  list_label_new = list_label + [tokenizer.pad_token]* (label_num - len(list_label))