Update README.md

README.md

@@ -28,22 +28,32 @@ should probably proofread and complete it, then remove this comment. -->
 
 # klue_nli_roberta_base_model
 
-This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the klue dataset.
+This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) 
+on the klue dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6867
 - Accuracy: 0.8653
 
 ## Model description
 
-More information needed
+Pretrained RoBERTa Model on Korean Language. See Github and Paper for more details.
+
 
 ## Intended uses & limitations
 
-More information needed
+## How to use
+*NOTE*: Use BertTokenizer instead of RobertaTokenizer. (AutoTokenizer will load BertTokenizer)
+
+
+from transformers import AutoModel, AutoTokenizer
+
+```python
+model = AutoModel.from_pretrained("klue/roberta-base")
+tokenizer = AutoTokenizer.from_pretrained("klue/roberta-base")
+```
 
 ## Training and evaluation data
 
-More information needed
 
 ## Training procedure