Update README.md

README.md

@@ -63,7 +63,20 @@ It achieves the following results on the evaluation set:
 
 ## Intended uses & limitations
 
-More information needed
+### How to use
+You can use this model with Transformers *pipeline* for NER.
+```python
+from transformers import AutoTokenizer, AutoModelForTokenClassification
+from transformers import pipeline
+
+tokenizer = AutoTokenizer.from_pretrained("Leo97/KoELECTRA-small-v3-modu-ner")
+model = AutoModelForTokenClassification.from_pretrained("Leo97/KoELECTRA-small-v3-modu-ner")
+ner = pipeline("ner", model=model, tokenizer=tokenizer)
+
+example = "서울역으로 안내해줘."
+ner_results = ner(example)
+print(ner_results)
+```
 
 ## Training and evaluation data