You can read about using and saving Lambda layers in this article: https://towardsdatascience.com/working-with-the-lambda-layer-in-keras-cfbaffdfc4c9 3
If you need to use Lambda layer in your model, the recommended way is to save only the weights and then initialize a new model using the same code and load saved weights into it.
To avoid such problems it’s better to implement custom operations by subclassing a base Layer.
You should look into the code, which was used for training and saving the model. If you don’t have this code, I’m not sure how to find out what custom operations are performed inside Lambdas. The error is complaining about some dependencies it can’t find, which are needed for these custom layers.