ValueError: Only instances of `keras.Layer` can be added to a Sequential model. " Keras version - 3.5.0"
After searching i found out that  potential cause of the issue in tensorflow_hub/keras_layer.py

this is issue is occuring only in keras version  > 3.X.X


solution :

# Use Keras 2.
version_fn = getattr(tf.keras, "version", None)
if version_fn and version_fn().startswith("3."):
  import tf_keras as keras
else:
  keras = tf.keras

👉🏻 https://github.com/tensorflow/tensorflow/issues/63849#issuecomment-2002501172 Try to use Keras 2. version 👍🏻


import tensorflow as tf
from tensorflow import keras
print(tf.__version__)
2.16.1

import keras
print(keras.__version__)
3.2.0

import tf_keras
print(tf_keras.__version__)
2.16.0
 @Pavun-KumarCH Thank you for your responses here. 
You can continue using Keras 2 or later with a workaround. That is to wrap the TensorFlow Hub layer returned by tf.keras.layers.experimental.load in a keras.Layer object before adding it to your model.

Please let us know if we can move this issue to closed status as it is resolved from your side?

Thank you! Are you satisfied with the resolution of your issue?
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### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

TensorFlow tf version: 2.16.1

### Custom code

Yes

### OS platform and distribution

_No response_

### Mobile device

_No response_

### Python version

3.11.8

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

Adding TensorFlow Hub KerasLayer to Sequential Model Raises ValueError

I'm not able to run this model with  "keras.Layer`  to a Sequential model"
 as it works in well in google colab.


### Standalone code to reproduce the issue

```shell
CLASSIFIER_URL ="https://tfhub.dev/google/tf2-preview/mobilenet_v2/classification/2"
IMAGE_RES = 224

model = tf.keras.models.Sequential([
            hub.KerasLayer(CLASSIFIER_URL, input_shape=(IMAGE_RES, IMAGE_RES, 3))
           ])
```


### Relevant log output

```shell
ValueError: Only instances of `keras.Layer` can be added to a Sequential model. Received: <tensorflow_hub.keras_layer.KerasLayer object at 0x28ac6d4d0> (of type <class 'tensorflow_hub.keras_layer.KerasLayer'>)
```
