Update README.md

README.md

@@ -32,6 +32,17 @@ All models are train on these dataset with a same split seed across datasets (if
 
 - [synthetic-instruct-gptj-pairwise](https://huggingface.co/datasets/Dahoas/synthetic-instruct-gptj-pairwise)
 
+# How to use
+
+```
+from transformer import AutoModelForSequenceClassification, AutoTokenizer
+reward_name = "OpenAssistant/reward-model-deberta-v3-large"
+rank_model, tokenizer = AutoModelForSequenceClassification.from_pretrained(reward_name), AutoTokenizer.from_pretrained(reward_name)
+question, answer = "Explain nuclear fusion like I am five", "Nuclear fusion is the process by which two or more protons and neutrons combine to form a single nucleus. It is a very important process in the universe, as it is the source of energy for stars and galaxies. Nuclear fusion is also a key process in the production of energy for nuclear power plants."
+inputs = tokenizer(question, answer, return_tensors='pt')
+score = rank_model(**inputs).logits[0].cpu().detach()
+print(score)
+```
 
 # Performance