efficient_serving.ipynb has some bugs
@SuryanarayanaY I was able to replicate the issue reported [here](https://colab.research.google.com/gist/sushreebarsa/bc883716e434c4cb51cfc6d125c08710/efficient_serving.ipynb#scrollTo=if-ujOZN-Par).
Thank you! Hi @paya-alavi77 ,

This needs to be addressed at [recommenders](https://github.com/tensorflow/recommenders/issues) repo. Please file an issue there. Thanks! 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?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/64817">Yes</a>
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### Issue type

Documentation Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.16.1

### Custom code

No

### OS platform and distribution

_No response_

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

Hi. I was trying to run [this](https://www.tensorflow.org/recommenders/examples/efficient_serving) guide on tensorflow site and got error when tried to create the Movielensmodel. I didn't change any code and just ran it on a google colab server. 
The code that I'm getting error is on 10th cell:
`model = MovielensModel()`
which is supposed to create the retrieval model however I get below error I tried to work it out but I couldn't fix it. I found out that the installation of scann brings this problem. If we don't install scann the project will run just fine.:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
[<ipython-input-10-0536416ac940>](https://localhost:8080/#) in <cell line: 1>()
----> 1 model = MovielensModel()
      2 model.compile(optimizer=tf.keras.optimizers.Adagrad(learning_rate=0.1))

6 frames
[/usr/local/lib/python3.10/dist-packages/keras/src/backend/common/variables.py](https://localhost:8080/#) in standardize_shape(shape)
    460             continue
    461         if not is_int_dtype(type(e)):
--> 462             raise ValueError(
    463                 f"Cannot convert '{shape}' to a shape. "
    464                 f"Found invalid entry '{e}' of type '{type(e)}'. "

ValueError: Cannot convert '('c', 'o', 'u', 'n', 't', 'e', 'r')' to a shape. Found invalid entry 'c' of type '<class 'str'>'.



### Standalone code to reproduce the issue

```shell
https://colab.research.google.com/github/tensorflow/recommenders/blob/main/docs/examples/efficient_serving.ipynb
```


### Relevant log output

_No response_