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Update README.md

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@@ -10,7 +10,7 @@ tokenizer = AutoTokenizer.from_pretrained('XiaoZhang98/byT5-DRS', max_length=512
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  model = T5ForConditionalGeneration.from_pretrained("XiaoZhang98/byT5-DRS")
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  # Example sentence
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- example = "John, a keen birdwatcher, was delighted to see a hobby."
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  # Tokenize and prepare the input
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  x = tokenizer(example, return_tensors='pt', padding=True, truncation=True, max_length=512)['input_ids']
 
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  model = T5ForConditionalGeneration.from_pretrained("XiaoZhang98/byT5-DRS")
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  # Example sentence
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+ example = "I am a student."
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  # Tokenize and prepare the input
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  x = tokenizer(example, return_tensors='pt', padding=True, truncation=True, max_length=512)['input_ids']