Update README.md

README.md

@@ -28,8 +28,8 @@ This model was obtained by fine-tuning the corresponding `ClueAI/PromptCLUE-base
 ```python
 from transformers import AutoTokenizer, T5ForConditionalGeneration
 
-tokenizer = AutoTokenizer.from_pretrained("CodeTed/CGEDit")
-model = T5ForConditionalGeneration.from_pretrained("CodeTed/CGEDit")
+tokenizer = AutoTokenizer.from_pretrained("CodeTed/Chinese_Grammarly")
+model = T5ForConditionalGeneration.from_pretrained("CodeTed/Chinese_Grammarly")
 input_text = '糾正句子裡的錯字: 看完那段文張，我是反對的！'
 input_ids = tokenizer(input_text, return_tensors="pt").input_ids
 outputs = model.generate(input_ids, max_length=256)