how to add multiple encoder in the model?

[lkluo]

I suppose your sequential model has one-layer encoder and possible multi-layer decoder. however, in most cases encoder has also many layers. To me,
for _ in range(num_layers):
model.add(LSTM(hidden_size, return_sequences=True))
may work, not test yet.
moreover, could bidirectional encoder can be implemented in Keras?