import gensim
wordModel = gensim.models.Word2Vec.load('models/w2v_model_16_w5_m5.save')

for i in range(303):
    t = str(i)
    if t in wordModel:
        wordModel[t]
    else:
        print(i)
# print(new_model['301'])

