1 import torch
 2 import torch.nn as nn
 3 from torch.autograd import Variable
 4 
 5 word2id = {'hello': 0, 'world': 1}
 6 # you have 2 words, and then need 5 dim each word
 7 embeds = nn.Embedding(2, 5)
 8 # we need variable, because we need use element of nn.Embedding
 9 hello_idx = torch.LongTensor([word2id['hello']])
10 print(hello_idx)
11 hello_idx = Variable(hello_idx)
12 print(hello_idx)
13 # achieve the initial word_embedding of 'hello'
14 hello_embed = embeds(hello_idx)
15 print(hello_embed)
16 '''
17  0
18 [torch.LongTensor of size 1]
19 
20 Variable containing:
21  0
22 [torch.LongTensor of size 1]
23 
24 Variable containing:
25  1.1842  0.6819 -0.8768 -1.5130  0.7650
26 [torch.FloatTensor of size 1x5]
27 '''