A call of the model which is reloaded from SavedModel format produces a TypeError
@molokanov50,
Apologies for the delay. When i tried to save the model with the same configuration as you mentioned, it had only one .pb file saved_model.pb. Size of the model ~3.4MB.

Also try to use keras load model to load your model.

```
from tensorflow import keras

new_model = keras.models.load_model("save_model_keras")
new_model.summary()
```

Thank you! This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
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### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

binary

### TensorFlow version

2.13

### Custom code

No

### OS platform and distribution

Linux Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.9

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

12.2

### GPU model and memory

_No response_

### Current behavior?

A call of the model which is reloaded from SavedModel format produces a `TypeError: '_UserObject' object is not callable`.
All necessary code is in [this tutorial](https://www.tensorflow.org/text/tutorials/transformer). Below I show code lines from there, where the error occurs.

### Standalone code to reproduce the issue

```shell
reloaded = tf.saved_model.load('translator')
reloaded('este é o primeiro livro que eu fiz.').numpy()
```


### Relevant log output

```shell
Traceback (most recent call last):
  File "/home/molokanov/tensorflow/check.py", line 13, in <module>
    reloaded('este é o primeiro livro que eu fiz.').numpy()
TypeError: '_UserObject' object is not callable
```
