updated readme

README.md

@@ -35,7 +35,7 @@ import torch
 model = AutoModelForSequenceClassification.from_pretrained("aveluth/author_regulatory_focus_classifier")
 tokenizer = AutoTokenizer.from_pretrained("aveluth/author_regulatory_focus_classifier")
 
-text = ""
+text = "Wir müssen sicherstellen, dass keine Fehler passieren. Sicherheit hat höchste Priorität."
 inputs = tokenizer(text, return_tensors="pt")
 outputs = model(**inputs)
 predicted_class = torch.argmax(outputs.logits).item()
@@ -43,8 +43,6 @@ predicted_class = torch.argmax(outputs.logits).item()
 print("Predicted class:", "prevention" if predicted_class == 0 else "promotion")
 ```
 
-> Make sure to replace `"your-username/..."` with the correct model path.
-
 ## Labels
 
 | Class       | Description                            |
@@ -83,4 +81,4 @@ If you use this model in your research, please cite:
   number={1},
   year={2023}
 }
-```
+```