Update README.md

README.md

@@ -49,8 +49,8 @@ word2 = "fizzformer"
 word2 = " ".join([char for char in word2]) ## divide the word to char level to fuzzy match
 words = [word1, word2]
 # Load model from HuggingFace Hub
-tokenizer = AutoTokenizer.from_pretrained('shahrukhx01/Fuzzformer')
-model = AutoModel.from_pretrained('shahrukhx01/Fuzzformer')
+tokenizer = AutoTokenizer.from_pretrained('shahrukhx01/paraphrase-mpnet-base-v2-fuzzy-matcher')
+model = AutoModel.from_pretrained('shahrukhx01/paraphrase-mpnet-base-v2-fuzzy-matcher')
 
 # Tokenize sentences
 encoded_input = tokenizer(words, padding=True, truncation=True, return_tensors='pt')