How to use the Embedding Layer for Recurrent Neural Network (RNN) in Keras

I'm rather new to Neural Networks and the Keras Library and I'm wondering how I can use the Embedding Layer as described here to mask my input data from a 2D tensor to a 3D tensor for a RNN. Say my timeseries data looking as follows (with an increasing time): X_train = [ [1.0,2.0,3.0,4.0], [2.0,5.0,6.0,7.0], [3.0,8.0,9.0,10.0], [4.0,11.0,12.0,13.0], ... ] # with a length of 1000 Now, say I would w