Created
February 6, 2019 14:50
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Using Gensim train FastText Chinese Char vector
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| import pickle | |
| from gensim.models.fasttext import FastText | |
| # [ ['你', '好', '吗'] ] | |
| sentences = pickle.load(open('./x.pkl', 'rb')) | |
| model = FastText(size=64, window=10, min_count=1) | |
| model.build_vocab(sentences=sentences) | |
| model.train(sentences=sentences, total_examples=len(sentences), epochs=10) | |
| model.wv.save_word2vec_format('./fasttext64.txt') |
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