Update README.md

README.md

@@ -27,10 +27,10 @@ You can use this model for inference as follows:
 >>> from transformers import pipeline
 >>> origin = "ltg/norbert3-base_sentence-sentiment"
 >>> pipe = transformers.pipeline( "text-classification",
-...                             model = source_p,
+...                             model = origin,
 ...                             trust_remote_code=origin.startswith("ltg/norbert3"),
-...                             config= source_p,
-...                             tokenizer = AutoTokenizer.from_pretrained(source_p)
+...                             config= origin,
+...                             tokenizer = AutoTokenizer.from_pretrained(origin)
 ...             )
 >>> preds = pipe(["Hans hese, litt såre stemme kler bluesen, men denne platen kommer neppe til å bli blant hans største kommersielle suksesser.",
 ...              "Borten-regjeringen gjorde ikke jobben sin." ])