Machine Learning, NLP, Word Embeddings, Artificial Intelligence, Text Similarity.
gensim load the model from gensim.models import Word2Vec import numpy as np # give a path of model to load function word_emb_model = Word2Vec.load('word2vec.bin') For representing sentence as a vector we will take mean of all the word embeddings which are present in the vocabulary of Word2Vec.