Update README.md

Fix model name in pipeline from 'base' to 'large'.

README.md

@@ -57,8 +57,8 @@ You can use this model with Transformers *pipeline* for NER.
 from transformers import AutoTokenizer, AutoModelForTokenClassification
 from transformers import pipeline
 
-tokenizer = AutoTokenizer.from_pretrained("dslim/bert-base-NER")
-model = AutoModelForTokenClassification.from_pretrained("dslim/bert-base-NER")
+tokenizer = AutoTokenizer.from_pretrained("dslim/bert-large-NER")
+model = AutoModelForTokenClassification.from_pretrained("dslim/bert-large-NER")
 
 nlp = pipeline("ner", model=model, tokenizer=tokenizer)
 example = "My name is Wolfgang and I live in Berlin"