Update README.md

README.md

@@ -8,7 +8,9 @@ The Pandemic PACT Advanced Categorisation Engine (PPACE) is a fine-tuned 8B LLM
 The model leverages a human-annotated dataset expanded with rationales generated by a larger LLM. These rationales provide explanations for the chosen labels, enhancing the model's interpretability and accuracy.
 
 # Usage
-Todo
+```python
+### TODO
+```
 
 # Model Details
 PPACE is fine-tuned using Low-Rank Adaptation (LoRA) to ensure efficient training while maintaining high performance. The fine-tuning process involves training the model for 4 epochs on a dataset of 5142 projects, using 8 A100 GPUs with a batch size of 1 per GPU and 4 gradient accumulation steps.