Update README.md

README.md

@@ -26,9 +26,9 @@ This model works best for ''WORD-BASED'' spell correction(`not so good with the
 
 ## How to Get Started with the Model
 ```python
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+from transformers import AutoTokenizer, TFBartForConditionalGeneration
 tokenizer = AutoTokenizer.from_pretrained("veghar/spell_correct_bart_base")
-model = AutoModelForSeq2SeqLM.from_pretrained("veghar/spell_correct_bart_base")
+model = TFBartForConditionalGeneration.from_pretrained("veghar/spell_correct_bart_base")
 
 text='believ'
 text_tok=tokenizer(text,padding=True, return_tensors='tf')