Update README.md

README.md

@@ -27,12 +27,17 @@ You can load the model from HuggingFace Hub while using the local tokenizer:
 ```python
 from transformers import BertForPreTraining
 from tokenization_kobert import KoBERTTokenizer
+```
 
 # Load model from HuggingFace 
+```python
 model = BertForPreTraining.from_pretrained("kimsiun/kaers-bert-241101")
+```
 
 # Load tokenizer from local file
+```python
 tokenizer = KoBERTTokenizer.from_pretrained('skt/kobert-base-v1')
+```
 
 ## Key Features
 
@@ -86,4 +91,3 @@ This model is designed for:
   volume={46},
   pages={781--795},
   year={2023}
-}