Update README.md

README.md

@@ -23,4 +23,18 @@ 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.
+**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`
+
+**Example usage**
+from transformers import AutoModel,AutoTokenizer
+import torch
+
+model= AutoModel.from_pretrained('uitnlp/visobert')
+tokenizer = AutoTokenizer.from_pretrained('uitnlp/visobert')
+
+encoding = tokenizer('dau xanh rau ma',return_tensors='pt')
+
+with torch.no_grad():
+  output = model(**encoding)