Update README.md

README.md

@@ -51,11 +51,21 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+Pretrained RoBERTa Model on Korean Language. See [Github](https://github.com/KLUE-benchmark/KLUE) and [Paper](https://arxiv.org/abs/2105.09680) for more details.
 
 ## Intended uses & limitations
 
-More information needed
+## How to use
+
+_NOTE:_ Use `BertTokenizer` instead of RobertaTokenizer. (`AutoTokenizer` will load `BertTokenizer`)
+
+```python
+from transformers import AutoModel, AutoTokenizer
+
+model = AutoModel.from_pretrained("klue/roberta-base")
+tokenizer = AutoTokenizer.from_pretrained("klue/roberta-base")
+```
+
 
 ## Training and evaluation data