python - 如何加载预训练的 Word2vec 模型文件并重新使用它？

Question

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

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

Answer 1

只是为了加载

import gensim

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

现在您可以照常训练模型了。另外，如果你想保存它并多次重新训练它，你应该这样做

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")