Update README.md

README.md

@@ -41,8 +41,8 @@ The model can be used as follows for **closed book question answering**:
 ```python
 from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 
-t5_qa_model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-large-ssm-nq")
-t5_tok = AutoTokenizer.from_pretrained("google/t5-large-ssm-nq")
+t5_qa_model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-3b-ssm-nq")
+t5_tok = AutoTokenizer.from_pretrained("google/t5-3b-ssm-nq")
 
 input_ids = t5_tok("When was Franklin D. Roosevelt born?", return_tensors="pt").input_ids
 gen_output = t5_qa_model.generate(input_ids)[0]