Update README.md

README.md

@@ -177,6 +177,15 @@ completed fine-tuning run shows:
 * **100% syntax-valid SQL generation** across the 50-example held-out benchmark
 * successful local fine-tuning of a code-focused language model using an **NVIDIA GeForce RTX 3050**
 
+## Imports:
+```python
+from peft import PeftModel
+from transformers import AutoModelForCausalLM
+
+base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-0.5B-Instruct")
+model = PeftModel.from_pretrained(base_model, "AaronTekle/SQLQwen")
+```
+
 ## References:
 - Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W. *LoRA: Low-Rank Adaptation of Large Language Models*. arXiv:2106.09685, 2021.](https://arxiv.org/abs/2106.09685)