Update README.md

README.md

@@ -8,15 +8,13 @@ pipeline_tag: text2text-generation
 paust/pko-t5-base model based
 
 Since this model is based on paust/pko-t5-base tokenizer, you need to import it.
-```
-{from transformers import T5TokenizerFast, T5ForConditionalGeneration
+```from transformers import T5TokenizerFast, T5ForConditionalGeneration
 tokenizer = T5TokenizerFast.from_pretrained("paust/pko-t5-base")
-model = T5ForConditionalGeneration.from_pretrained("emotionanalysis/diaryempathizer-t5-ko")}
+model = T5ForConditionalGeneration.from_pretrained("emotionanalysis/diaryempathizer-t5-ko")
 ```
 
 Test code
-```
-{import torch
+```import torch
 from transformers import T5TokenizerFast, T5ForConditionalGeneration
 
 model = T5ForConditionalGeneration.from_pretrained("emotionanalysis/diaryempathizer-t5-ko")
@@ -35,5 +33,5 @@ inputs = {key: value.to(device) for key, value in inputs.items()}
 outputs = model.generate(input_ids=inputs["input_ids"], max_length=128, num_beams=4, early_stopping=True)
 
 generated_comment = tokenizer.decode(outputs[0], skip_special_tokens=True)
-print(generated_comment)}
+print(generated_comment)
 ```