Load PreComputed Vectors Gensim

Question

I am using the Gensim Python package to learn a neural language model, and I know that you can provide a training corpus to learn the model. However, there already exist many precomputed word vectors available in text format (e.g. http://www-nlp.stanford.edu/projects/glove/). Is there some way to initialize a Gensim Word2Vec model that just makes use of some precomputed vectors, rather than having to learn the vectors from scratch?

Thanks!

Answer 1

The GloVe dump from the Stanford site is in a format that is little different from the word2vec format. You can convert the GloVe file into word2vec format using:

python -m gensim.scripts.glove2word2vec --input  glove.840B.300d.txt --output glove.840B.300d.w2vformat.txt