added how the model can be imported

README.md

@@ -32,7 +32,19 @@ This token-classification model  aims to perform Named Entity Recognition on Ger
 
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 - Named Entity Recignition
-<!--### Direct Use
+### Direct Use
+
+  from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
+
+  model = AutoModelForTokenClassification.from_pretrained("demigrigo/mpr_bert_german_ner")
+  tokenizer = AutoTokenizer.from_pretrained("demigrigo/mpr_bert_german_ner")
+  
+  nlp = pipeline("token-classification", model=model, tokenizer=tokenizer, aggregation_strategy="average") 
+  
+  text = "Ernennung FML. Peter Zaninis zum Kriegsminister" **example sentence**
+  print(nlp(text))
+
+
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->