The latest complete code: Incremental training using the word2vec pre-training model (two loading methods corresponding to two saving methods) applicable to various versions of gensim

There are two ways to load the pre-trained model (the way of saving and loading is different)

Take the 100 word2vec small version trained by Tencent as an example

word2vec pre-training model download
Tencent: https://ai.tencent.com/ailab/nlp/en/embedding.html (100 dimensions)
github Chinese word vectors: https://github.com/Embedding/Chinese-Word-Vectors (in 64 dimensions)

1. Save_word2vec_format save method:

model = word2vec.KeyedVectors.load_word2vec_format(fname=r'new_model.model', binary=True)

2. How wv_word2model.save and wv_word2model.wv.save are savedÿ