Update README.md

README.md

@@ -32,7 +32,7 @@ We followed the training parameters of the base-scale model of [ELECTRA](https:/
 #### Vocabulary
 
 vocab size 30,000
-We used morpheme-based unit tokens for our vocabulary based on the Mecab-Ko[https://bitbucket.org/eunjeon/mecab-ko-dic/src/master/] morpheme analyzer.
+We used morpheme-based unit tokens for our vocabulary based on the [Mecab-Ko](https://bitbucket.org/eunjeon/mecab-ko-dic/src/master/) morpheme analyzer.
 
 
 #### Download Link
@@ -41,7 +41,7 @@ We used morpheme-based unit tokens for our vocabulary based on the Mecab-Ko[http
 
 * PyTorch models on HuggingFace
 
-```
+```python
 from transformers import ElectraModel, ElectraTokenizer
 
 model = ElectraModel.from_pretrained("snunlp/KR-ELECTRA-discriminator")