Update README.md

README.md

@@ -38,8 +38,8 @@ provided a simple snippet of how to use this model for the task of paragraph sum
 ```python
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-tokenizer = AutoTokenizer.from_pretrained("suriya7/text_summarize")
-model = AutoModelForSeq2SeqLM.from_pretrained("suriya7/text_summarize")
+tokenizer = AutoTokenizer.from_pretrained("suriya7/bart-finetuned-text-summarization")
+model = AutoModelForSeq2SeqLM.from_pretrained("suriya7/bart-finetuned-text-summarization")
 
 def generate_summary(text):
     inputs = tokenizer([text], max_length=1024, return_tensors='pt', truncation=True)