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Update README.md

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@@ -35,7 +35,7 @@ tokenizer = ByT5Tokenizer.from_pretrained('saadamin2k13/italian_augmented_semant
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  model = T5ForConditionalGeneration.from_pretrained('saadamin2k13/italian_augmented_semantic_parser')
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  # Example sentence
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- example = "This car is black."
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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('saadamin2k13/italian_augmented_semantic_parser')
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  # Example sentence
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+ example = "questa macchina è nera."
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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']