updating Readme

README.md

@@ -12,12 +12,7 @@ Specifically, this model is a *bert-base-multilingual-cased* model that was fine
 ## Intended uses & limitations
 #### How to use
 You can use this model with Transformers *pipeline* for masked token prediction.
-```python
-from transformers import pipeline
->>> from transformers import pipeline
->>> unmasker = pipeline('fill-mask', model='Davlan/bert-base-multilingual-cased-finetuned-yoruba')
->>> unmasker("Arẹmọ Phillip to jẹ ọkọ [MASK] Elizabeth to ti wa lori aisan ti dagbere faye lẹni ọdun mọkandilọgọrun")
-```
+
 #### Limitations and bias
 This model is limited by its training dataset of entity-annotated news articles from a specific span of time. This may not generalize well for all use cases in different domains. 
 ## Training data