Word2vec compact models Tell me if there are any w2v models that do not require a dictionary. So, everything that I found in torchtext first wants to know the dictionary build_vocab. But if I have a huge body of text, I would like to have a model that works at the level of phrases. But I did not find one.
Every word2vec model requires a dictionary that maps an index to a string literal. This dictionary mapping greatly speeds up training because the training is completely integer-based. 

The string literal values can be any length, from individual characters to phrases.