Update README.md

README.md

@@ -101,6 +101,14 @@ sbert_model = SentenceTransformer(modules=[word_embedding_model, pooling_model])
 sbert_model.cuda()  # move to GPU if available
 ```
 
+# 4) Save it as an SBERT model
+
+```python
+save_path = "./sap_umls_sbert"
+sbert_model.save(save_path)
+```
+
+
 # Now you can encode your list of phrases directly:
 ```python
 all_names = [