Update README.md

README.md

@@ -34,7 +34,8 @@ This token-classification model  aims to perform Named Entity Recognition on Ger
 - Named Entity Recignition
 ### Direct Use
 
-  ``from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
+  ```
+  from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
 
   model = AutoModelForTokenClassification.from_pretrained("demigrigo/mpr_bert_german_ner")
   tokenizer = AutoTokenizer.from_pretrained("demigrigo/mpr_bert_german_ner")
@@ -42,7 +43,8 @@ This token-classification model  aims to perform Named Entity Recognition on Ger
   nlp = pipeline("token-classification", model=model, tokenizer=tokenizer, aggregation_strategy="average") 
   
   text = "Ernennung FML. Peter Zaninis zum Kriegsminister" **example sentence**
-  print(nlp(text))``
+  print(nlp(text))
+  ```