Gensim - Using Pretrained Models

import gensim
import gensim.downloader 
for model_name in list(gensim.downloader.info()['models'].keys()):
  print(model_name)

Download pretrained model

import gensim
import gensim.downloader 
model_google_news = gensim.downloader.load('word2vec-google-news-300')

Save pretrained model to Google Drive

!cp /root/gensim-data/word2vec-google-news-300/word2vec-google-news-300.gz /content/drive/MyDrive/model/gensim/word2vec-google-news-300/word2vec-google-news-300.gz

Load pretrained model from Google Drive

from gensim.models import KeyedVectors
model_w2v = KeyedVectors.load_word2vec_format('/content/drive/MyDrive/model/word2vec-google-news-300/word2vec-google-news-300.gz', binary=True)
vector_test = model_w2v.get_vector("test")

Save pretrained model to Google Drive as keyed vector model

model_w2v.save('/content/drive/MyDrive/Content/vector_w2v.kv')

Load keyed vector model

from gensim.models import KeyedVectors
model_w2v = KeyedVectors.load('/content/drive/MyDrive/Content/vector_w2v.kv')