Change example

README.md

@@ -26,10 +26,11 @@ ner_pipeline = pipeline("token-classification",
                         aggregation_strategy="max")
 
 # Apply it to some text
-ner_pipeline("EGFR T790M mutations have been known to affect treatment outcomes for NSCLC patients receiving erlotinib.")
+ner_pipeline("Tuberculous is an infectious disease.")
 
 # Output:
-
+# [ {"entity_group": "SpecificDisease", "score": 0.99873, "word": "tuberculous", "start": 0, "end": 11},
+#   {"entity_group": "DiseaseClass", "score": 0.99418, "word": "infectious disease", "start": 18, "end": 36} ]
 ```
 
 ## Dataset Info