Layer 'lstm_cell' expected 3 variables, but received 0

I am using databricks to train my models, and I test them locally

I would like to experiment with bi-directional lstm, I am facing issues to load the trained model after being saved.

ValueError: Layer ‘lstm_cell’ expected 3 variables, but received 0 variables during loading. Expected: [‘bidirectional/forward_lstm/lstm_cell/kernel:0’, ‘bidirectional/forward_lstm/lstm_cell/recurrent_kernel:0’, ‘bidirectional/forward_lstm/lstm_cell/bias:0’]

local machine version:

Python version
3.11.0 (main, Oct 24 2022, 18:26:48) [MSC v.1933 64 bit (AMD64)]
Version info.
sys.version_info(major=3, minor=11, micro=0, releaselevel=‘final’, serial=0)
TensorFlow version: 2.15.1
Keras version: 2.15.0

databricks:
Python version
3.11.0rc1 (main, Aug 12 2022, 10:02:14) [GCC 11.2.0]
Version info.
sys.version_info(major=3, minor=11, micro=0, releaselevel=‘candidate’, serial=1)
TensorFlow version: 2.15.1
Keras version: 2.15.0

I have used the most recent version, but faced the same issue, I read somewhere that the issue could be avoided by using earlier tensorflow and keras version, which I did as indicated above. However, I am still facing the same issue.

Thanks for the assistance.