Fix example code

README.md

@@ -35,7 +35,7 @@ All models are train on these dataset with a same split seed across datasets (if
 # How to use
 
 ```
-from transformer import AutoModelForSequenceClassification, AutoTokenizer
+from transformers 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."