Using pretrained gensim Word2vec embedding in keras

Question

I have trained word2vec in gensim. In Keras, I want to use it to make matrix of sentence using that word embedding. As storing the matrix of all the sentences is very space

Answer 1

With the new Gensim version this is pretty easy:

w2v_model.wv.get_keras_embedding(train_embeddings=False)

there you have your Keras embedding layer