Update README.md

README.md

@@ -73,11 +73,11 @@ Use the code below to get started with the model.
 from transformers import AutoTokenizer, AutoModelForTokenClassification
 from transformers import pipeline
 
-tokenizer = AutoTokenizer.from_pretrained("dslim/distilbert-NER")
-model = AutoModelForTokenClassification.from_pretrained("dslim/distilbert-NER")
+tokenizer = AutoTokenizer.from_pretrained("gokulsarvesh/bert_base_uncase_Conll2012")
+model = AutoModelForTokenClassification.from_pretrained("gokulsarvesh/bert_base_uncase_Conll2012")
 
 nlp = pipeline("ner", model=model, tokenizer=tokenizer)
-example = "My name is Wolfgang and I live in Berlin"
+example = "Plan a trip from W Broad Street Columbus to Hazel Street Louisville Kentucky USA on Sunday at 5 o Clock"
 
 ner_results = nlp(example)
 print(ner_results)