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Everfighting/load_word2vec.py

Created June 24, 2022 02:21
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load_word2vec.py
import gensim.downloader as api
print(api.load('word2vec-google-news-300', return_path=True))
from gensim import models
word2vec_path = './word2vec-google-news-300.gz'
w2v_model = models.KeyedVectors.load_word2vec_format(word2vec_path, binary=True)
print(w2v_model["king"])
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