load_glove.py

# load GloVe files
glove_file = datapath('glove.6B\\glove.6B.100d.txt')
glove_file_300 = datapath('glove.6B\\glove.6B.300d.txt')

# convert from GloVe to Word2vec
word2vec_glove_file = get_tmpfile("glove.6B.100d.word2vec.txt")
glove2word2vec(glove_file, word2vec_glove_file)
word2vec_glove_file_300 = get_tmpfile("glove.6B.300d.word2vec.txt")
glove2word2vec(glove_file_300, word2vec_glove_file_300)

# convert word2vec vectors to keyvectors {word => 1D numpy array}
model = KeyedVectors.load_word2vec_format(word2vec_glove_file, binary=False)
model_300 = KeyedVectors.load_word2vec_format(word2vec_glove_file_300, binary=False)

# display a sample vector
with open(word2vec_glove_file) as f:
    f.readline()
    print(f.readline())