text_plain_output_1.png
from gensim.models import KeyedVectors

FILE_PATH = '../input/fasttext-wikinews/wiki-news-300d-1M.vec'

keyed_vec = KeyedVectors.load_word2vec_format(FILE_PATH)

word_vec = keyed_vec.get_vector('foobar')

keras_embedding = keyed_vec.get_keras_embedding()
keras_embedding.get_config()