modify mean pooling annotations in onnx model

README.md

@@ -25238,7 +25238,7 @@ inputs = {
 # Run model
 outputs = session.run(None, inputs)[0]
 
-# Apply mean pooling to 'outputs' to get a single representation of each text
+# Apply mean pooling and normalization to the model outputs
 embeddings = mean_pooling(outputs, input_text["attention_mask"])
 embeddings = embeddings / np.linalg.norm(embeddings, ord=2, axis=1, keepdims=True)
 ```