Update README.md

README.md

@@ -38,7 +38,9 @@ Please refer to the [related section](https://github.com/nicolay-r/Reasoning-for
 With this example it applies this model (zero-shot-learning) in the `PROMPT` mode to the validation data of the RuSentNE-2023 competition for evaluation.
 
 ```sh
-python thor_finetune.py -m "nicolay-r/flan-t5-tsa-prompt-xl" -r "prompt" -d "rusentne2023" -z -bs 4 -f "./config/config.yaml"
+python thor_finetune.py -m "nicolay-r/flan-t5-tsa-prompt-xl" -r "prompt" \
+    -p "What's the attitude of the sentence '{context}', to the target '{target}'?" \
+    -d "rusentne2023" -z -bs 4 -f "./config/config.yaml"
 ```
 
 Following the [Google Colab Notebook]((https://colab.research.google.com/github/nicolay-r/Reasoning-for-Sentiment-Analysis-Framework/blob/main/Reasoning_for_Sentiment_Analysis_Framework.ipynb)) for implementation reproduction.