Update README.md

README.md

@@ -27,16 +27,8 @@ ColD Fusion-based model outperforms RoBERTa by 2.45 points in average without an
 
 
 ### How to use
-
-You can use this model directly with a pipeline for masked language modeling:
-
-```python
->>> from transformers import pipeline
->>> unmasker = pipeline('fill-mask', model='ibm/ColD-Fusion')
->>> unmasker("Hello I'm a <mask> model.")
-```
-
-Here is how to use this model to get the features of a given text in PyTorch:
+Best way to use is to finetune on your own task, but you can also extract features directly.
+To get the features of a given text in PyTorch:
 
 ```python
 from transformers import RobertaTokenizer, RobertaModel