I read this page but I do not understand what is different between models which are built based on the following codes. I know when dbow_words is 0, training of doc-vectors is faster.
First model
model = doc2vec.Doc2Vec(documents1, size = 100, window = 300, min_count = 10, workers=4)
Second model
model = doc2vec.Doc2Vec(documents1, size = 100, window = 300, min_count = 10, workers=4,dbow_words=1)