Add corresponding re-ranker link.

README.md

@@ -18,4 +18,6 @@ input_text = "### Instruction:\nAnswer the following question.\n\n### Input:\nQu
 inputs = tokenizer(input_text, return_tensors="pt")
 outputs = model.generate(**inputs, max_new_tokens=100)
 print(tokenizer.decode(outputs[0]))
-```
+```
+
+The corresponding re-ranker supervised by this model can be downloaded [here](https://huggingface.co/notoookay/ragler-llama2-13b-reranker).