Update README.md

README.md

@@ -70,11 +70,11 @@ sentences = [
     'Zwei Personen beobachten das Wasser.',
 ]
 
-# For FP32 embeddings (takes more space)
-embeddings = model.encode(sentences)
-
 # For FP16 embeddings (half space, no quality loss)
-# embeddings = model.encode(sentences, convert_to_tensor=True).half()
+embeddings = model.encode(sentences, convert_to_tensor=True).half()
+
+# For FP32 embeddings (takes more space)
+# embeddings = model.encode(sentences)
 
 # Get the similarity scores for the embeddings
 similarities = model.similarity(embeddings, embeddings)