Update README.md

README.md

@@ -37,7 +37,7 @@ tokenizer = ByT5Tokenizer.from_pretrained('saadamin2k13/byT5_ft_generation', max
 model = T5ForConditionalGeneration.from_pretrained('saadamin2k13/byT5_ft_generation')
 
 # Example sentence
-example = "male.n.02 Name "Tom" yell.v.01 Agent -1 Time +1 time.n.08 TPR now"
+example = "male.n.02 Name 'Tom' yell.v.01 Agent -1 Time +1 time.n.08 TPR now"
 
 # Tokenize and prepare the input
 x = tokenizer(example, return_tensors='pt', padding=True, truncation=True, max_length=512)['input_ids']