Update README.md

README.md

@@ -18,7 +18,7 @@ model = AutoModelForSequenceClassification.from_pretrained(model_name)
 references = ["Ray Charles is legendary.", "Ray Charles is legendary."]
 candidates = ["Ray Charles is a legend.", "Ray Charles isn’t legendary."]
 
-tokenized = tokenizer(references, cadidates, return_tensors='pt', padding=True)
+tokenized = tokenizer(references, candidates, return_tensors='pt', padding=True)
 print(model(**tokenized).logits)
 # returns scores 0.8409 and 0.2601 for the two candidates
 ```