Update README.md

README.md

@@ -27,11 +27,15 @@ Then you can use the model like this:
 
 ```python
 from sentence_transformers import SentenceTransformer
-sentences = ["This is an example sentence", "Each sentence is converted"]
+sentences = ["Una ragazza si acconcia i capelli.", "Una ragazza si sta spazzolando i capelli."]
+matryoshka_dim = 64
 
 model = SentenceTransformer('nickprock/sentence-bert-base-italian-uncased-sts-matryoshka')
 embeddings = model.encode(sentences)
-print(embeddings)
+embeddings = embeddings[..., :matryoshka_dim]  # Shrink the embedding dimensions
+print(embeddings.shape)
+# => (2, 64)
+
 ```