In spacy, how to use your own word2vec model created in gensim?

Question

I have trained my own word2vec model in gensim and I am trying to load that model in spacy. First, I need to save it in my disk and then try to load an init-model in spacy but u

Answer 1

As explained here, you can import custom word vectors that trained using Gensim, Fast Text, or Tomas Mikolov's original word2vec implementation, by creating a model using:

wget https://s3-us-west-1.amazonaws.com/fasttext-vectors/word-vectors-v2/cc.la.300.vec.gz
python -m spacy init-model en your_model --vectors-loc cc.la.300.vec.gz

then you can load you model, nlp = spacy.load('your_model') and use it!

Also see the similar question that answered here.