You can save a model after adding an attention mechanism by using the save_model function in TensorFlow/Keras.
Here is the code snippet you can refer to:

In the above code, we are using the following key points:
- Implements a custom attention layer using MultiHeadAttention.
- Integrates the attention mechanism into a simple model.
- Saves and reloads the model with model.save() and load_model().
Hence, the attention-augmented model can be easily saved and reloaded using TensorFlow/Keras's built-in functions.