# How to implement LSTM using Doc2Vec vectors?

I would like to build a ANN for text classification, which has an LSTM layer, and using weights obtained via a Doc2Vec model trained before:

model_doc2vec = Sequential()

At the moment I am not able to get the weights in the Embedding() layer mentioned above. I would like to know which is the easiest way to get these weights.