How to find similar words with FastText?

Question

I am playing around with FastText, https://pypi.python.org/pypi/fasttext,which is quite similar to Word2Vec. Since it seems to be a pretty new library

Answer 1

You can install and import gensim library and then use gensim library to extract most similar words from the model that you downloaded from FastText.

Use this:

import gensim
model = gensim.models.KeyedVectors.load_word2vec_format('model.vec')
similar = model.most_similar(positive=['man'],topn=10)

And by topn parameter you get the top 10 most similar words.