Description:
I’m working on a sequence-to-sequence model using TensorFlow and SentencePiece to dynamically replace placeholders like {NAMESPACE} in user inputs. My training data includes examples with both the placeholder and actual values. During inference, I want the model to replace {NAMESPACE} with the user-specified value without hardcoding it. How can I ensure the model learns this pattern effectively and handles dynamic replacements during inference?