Update README.md

Correcting example

README.md

@@ -29,7 +29,7 @@ model = AutoModelForTokenClassification.from_pretrained("Jean-Baptiste/roberta-t
 
 from transformers import pipeline
 
-nlp = pipeline('ner', model=model, tokenizer=tokenizer, grouped_entities=True, ignore_labels='O')
+nlp = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="simple")
 
 nlp("I am going to buy 100 shares of cake tomorrow")
 [{'entity_group': 'TICKER',