Update README.md

README.md

@@ -8,14 +8,14 @@ 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
 tokenizer = T5TokenizerFast.from_pretrained("paust/pko-t5-base")
 model = T5ForConditionalGeneration.from_pretrained("emotionanalysis/diaryempathizer-t5-ko")
-```
+}```
 
 Test code
-```
+```{
 import torch
 from transformers import T5TokenizerFast, T5ForConditionalGeneration
 
@@ -36,4 +36,4 @@ outputs = model.generate(input_ids=inputs["input_ids"], max_length=128, num_beam
 
 generated_comment = tokenizer.decode(outputs[0], skip_special_tokens=True)
 print(generated_comment)
-```
+}```