Update README.md

README.md

@@ -14,8 +14,8 @@ DialogSum dataset (115056 Records) was used to fine-tune the model for Punctuati
 <pre>
 
 from transformers import T5Tokenizer, TFT5ForConditionalGeneration
-tokenizer = T5Tokenizer.from_pretrained('SJ-Ray/Re-Punctuate/')
-model = TFT5ForConditionalGeneration.from_pretrained('SJ-Ray/Re-Punctuate/')
+tokenizer = T5Tokenizer.from_pretrained('SJ-Ray/Re-Punctuate')
+model = TFT5ForConditionalGeneration.from_pretrained('SJ-Ray/Re-Punctuate')
 input_text = 'the story of this brave brilliant athlete whose very being was questioned so publicly is one that still captures the imagination'
 inputs = tokenizer.encode("punctuate: " + input_text, return_tensors="tf") 
 result = model.generate(inputs)