如何加载预先训练的Word2vec MODEL文件并重新使用它？

Question

我想使用预先训练的word2vec模型，但我不知道如何在Python中加载它。

此文件是MODEL文件（703 MB）。 它可以在这里下载：
http://devmount.github.io/GermanWordEmbeddings/

Answer 1

只是装载

import gensim 

# Load pre-trained Word2Vec model. 
model = gensim.models.Word2Vec.load("modelName.model") 

现在你可以训练模型如常。如果你想能够保存它并重新训练多次，这里是你应该做的

model.train(//insert proper parameters here//) 
""" 
If you don't plan to train the model any further, calling 
init_sims will make the model much more memory-efficient 
If `replace` is set, forget the original vectors and only keep the normalized 
ones = saves lots of memory! 
replace=True if you want to reuse the model 
""" 
model.init_sims(replace=True) 

# save the model for later use 
# for loading, call Word2Vec.load() 

model.save("modelName.model")