Update README.md

README.md

@@ -18,8 +18,16 @@ widget:
 ---
 ### How to use
 
-You can use this model directly with a pipeline for token classification. Given a mathematical definition from the text of an academic article, the model shall identify the term(s) defined with it.
+You can use this model directly with a pipeline for token classification. 
+Given a mathematical definition from the text of an academic article, the model shall identify the term(s) defined with it.
+```python
+from transformers import pipeline
+# Here, we use the prediction of the first word piece of every word.
+pipe = pipeline(model="InriaValda/roberta-base_definiendum",
+                aggregation_strategy="first") 
+pipe("A Young graph Y such that Y≃ Y(10, 9) is called a 1089 graph.")
 
+```
 
 ### Our Paper (TBA)