KeyError: "word 'sso' not in vocabulary"

import gensim
model = gensim.models.KeyedVectors.load_word2vec_format('D:/NLP  JIRA/GoogleNews-vectors-negative300.bin', binary=True)
print(model)
words = list(model.wv.vocab)
print(words)
print(model[words])
for words in op:
        print(words)
        obj = model[words]
        print(obj)

op = [['observations', 'sso', 'clienttool', 'testing'], ['logouri', 'column', 'clients', 'table', 'accepting', 'values', 'null']]