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Update README.md

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@@ -21,7 +21,7 @@ import numpy as np
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  # Load the pre-trained model and tokenizer
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  model_path = "./ielts_scoring_model"
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  model = AutoModelForSequenceClassification.from_pretrained(model_path)
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- tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased", use_fast=True)
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  # Example text to be evaluated, the essay with the score by human rater (= 8.5) in the test dataset.
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  # Load the pre-trained model and tokenizer
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  model_path = "./ielts_scoring_model"
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  model = AutoModelForSequenceClassification.from_pretrained(model_path)
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+ tokenizer = AutoTokenizer.from_pretrained(model_path)
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  # Example text to be evaluated, the essay with the score by human rater (= 8.5) in the test dataset.
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