Update README.md
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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 = "
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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']
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