Update README.md

README.md

@@ -27,11 +27,16 @@ Then you can use the model like this:
 
 ```python
 from sentence_transformers import SentenceTransformer
-sentences = ["This is an example sentence", "Each sentence is converted"]
 
-model = SentenceTransformer('sentence-transformers/stsb-xlm-r-multilingual')
-embeddings = model.encode(sentences)
-print(embeddings)
+model = SentenceTransformer(
+    "jovemexausto/stsb-xlm-r-multilingual-onnx-avx2",
+    backend="onnx",
+    model_kwargs={"file_name": "model_qint8_avx2.onnx"},
+)
+
+# 2. Inference works as normal
+embeddings = model.encode(["The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium."])
+similarities = model.similarity(embeddings, embeddings)
 ```