How to get vector for a sentence from the word2vec of tokens in sentence

Question

I have generated the vectors for a list of tokens from a large document using word2vec. Given a sentence, is it possible to get the vector of the sentence from the vector of

Answer 1

let suppose this is current sentence

import gensim 
from gensim.models import Word2Vec
from gensim import models
model = gensim.models.KeyedVectors.load_word2vec_format('path of your trainig 
dataset', binary=True)

strr = 'i am'
strr2 = strr.split()
print(strr2)
model[strr2] //this the the sentance embeddings.