update tokenizer in example

README.md

@@ -71,7 +71,7 @@ import torch
 from transformers import T5ForConditionalGeneration, T5Tokenizer
 
 model = T5ForConditionalGeneration.from_pretrained("MarioBarbeque/CyberSolve-LinAlg-1.2").to("cuda")
-tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-large") # CyberSolve uses the same tokenizer as the base FLAN-T5 model
+tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-large") # CyberSolve uses the same tokenizer as the base FLAN-T5 model
 
 # Pass the model instruction to solve a linear equation in the following simple format
 input_text = "Solve 24 = 1601*c - 1605*c for c."