update readme

README.md

@@ -14,8 +14,8 @@ Specifically, this model is a *xlm-roberta-base* model that was fine-tuned on Ki
 You can use this model with Transformers *pipeline* for masked token prediction.
 ```python
 >>> from transformers import pipeline
->>> unmasker = pipeline('fill-mask', model='Davlan/xlm-roberta-base-finetuned-kinyarwanda')
->>> unmasker("Twabonye ko igihe mu <mask> hazaba hari ikirango abantu bakunze")
+>>> unmasker = pipeline('fill-mask', model='Davlan/xlm-roberta-base-finetuned-naija')
+>>> >>> unmasker("Another attack on ambulance happen for Koforidua in March <mask> year where robbers kill Ambulance driver")