Update README.md

README.md

@@ -21,6 +21,8 @@ The Token labels are Person, Organisation, Location, Building, Event, Product, A
 ## How to use the model
 
 ```python
+from transformers import pipeline
+
 def print_ner(sentences):
     """Cleaning and printing NER results
 
@@ -46,7 +48,6 @@ def print_ner(sentences):
                     print(f"{word[1:]} {last_entity_type}")
 
 
-from transformers import pipeline
 pipe = pipeline(model='RashidNLP/NER-Deberta')
 sentence = pipe(["Elon Musk will be at SpaceX's Starbase facility in Boca Chica for the orbital launch of starship next month"])
 print_ner(sentence)