Update README.md

README.md

@@ -66,7 +66,7 @@ This model can be used directly with a pipeline for text classification:
 ```python
 >>> from transformers import pipeline
 >>> tokenizer_kwargs = {'padding':True,'truncation':True,'max_length':512}
->>> partypress = pipeline("text-classification", model = "cornelius/partypress-monolingual-Austria", tokenizer = "cornelius/partypress-monolingual-Austria", **tokenizer_kwargs)
+>>> partypress = pipeline("text-classification", model = "cornelius/partypress-monolingual-austria", tokenizer = "cornelius/partypress-monolingual-austria", **tokenizer_kwargs)
 >>> partypress("Your text here.")
 ```