update

README.md

@@ -21,9 +21,11 @@ This llama model was trained 2x faster with [Unsloth](https://github.com/unsloth
 
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
+
+  
 以下はelyza-tasks-100-TV_0.jsonlの回答のためのコードです．
 
-'''python
+```python
 from transformers import (
     AutoModelForCausalLM,
     AutoTokenizer,
@@ -99,4 +101,4 @@ with open(f"./{model_name}-outputs.jsonl", 'w', encoding='utf-8') as f:
     for result in results:
         json.dump(result, f, ensure_ascii=False)  # ensure_ascii=False for handling non-ASCII characters
         f.write('\n')
-'''
+```