Update README.md

README.md

@@ -25,9 +25,12 @@ The general architecture and experimental results of ViSoBERT can be found in ou
 
 **Please CITE** our paper when ViSoBERT is used to help produce published results or is incorporated into other software.
 
-**Installation** Install `transformers` with pip: `pip install transformers` and `SentencePiece` with `pip install SentencePiece`
+**Installation** 
+
+Install `transformers` with pip: `pip install transformers` and `SentencePiece` with pip: `pip install SentencePiece`
 
 **Example usage**
+```python
 from transformers import AutoModel,AutoTokenizer
 import torch
 
@@ -37,4 +40,5 @@ tokenizer = AutoTokenizer.from_pretrained('uitnlp/visobert')
 encoding = tokenizer('dau xanh rau ma',return_tensors='pt')
 
 with torch.no_grad():
-  output = model(**encoding)
+  output = model(**encoding)
+```