update generation example

README.md

@@ -16,8 +16,8 @@ tokenizer = AutoTokenizer.from_pretrained("a1noack/bart-large-gigaword")
  - To achieve these results, generate text using the code below. `text_list` is a list of input text string.
  ```
 input_ids_list = tokenizer(text_list, truncation=True, max_length=128, 
-                           return_tensors='pt', padding=True)['input_ids']
+        return_tensors='pt', padding=True)['input_ids']
 output_ids_list = model.generate(input_ids_list, min_length=0)
 outputs_list = tokenizer.batch_decode(output_ids_list, skip_special_tokens=True, 
-                                      clean_up_tokenization_spaces=False)
+        clean_up_tokenization_spaces=False)
 ```