Correct model name in example code

README.md

@@ -82,7 +82,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["Cat scratch injury", "Cat scratch disease", "Bartonellosis"]
 
-model = SentenceTransformer('FremyCompany/BioLORD-STAMB2-v1')
+model = SentenceTransformer('FremyCompany/BioLORD-2023')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```
@@ -103,8 +103,8 @@ def mean_pooling(model_output, attention_mask):
 sentences = ["Cat scratch injury", "Cat scratch disease", "Bartonellosis"]
 
 # Load model from HuggingFace Hub
-tokenizer = AutoTokenizer.from_pretrained('FremyCompany/BioLORD-STAMB2-v1')
-model = AutoModel.from_pretrained('FremyCompany/BioLORD-STAMB2-v1')
+tokenizer = AutoTokenizer.from_pretrained('FremyCompany/BioLORD-2023')
+model = AutoModel.from_pretrained('FremyCompany/BioLORD-2023')
 
 # Tokenize sentences
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')