Update README.md

README.md

@@ -49,11 +49,15 @@ def mean_pooling(model_output, attention_mask):
 
 
 # Sentences we want sentence embeddings for
-sentences = ['This is an example sentence', 'Each sentence is converted']
+sentences = [
+  "Human-Computer Interaction (HCI) can enhance emotion regulation training",
+  "One of the most effective emotion regulation in youth is through cognitive reapproval",
+  "Business analytics is an extensive form of using data"
+]
 
 # Load model from HuggingFace Hub
 tokenizer = AutoTokenizer.from_pretrained('sentence-transformers/all-mpnet-base-v2')
-model = AutoModel.from_pretrained('sentence-transformers/all-mpnet-base-v2')
+model = AutoModel.from_pretrained('salsabiilashifa11/sbert-paper')
 
 # Tokenize sentences
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')