Daniel Voigt Godoy - Deep Learning with PyTorch Step-by-Step A Beginner’s Guide-leanpub

Output
Token: 32 watch
The get_token() method assumes indexing starts at one, while the tokens
attribute has the typical zero-based indexing:
flair_sentences[0].tokens[31]
Output
Token: 32 watch
To learn more about the Sentence object in flair, please check
"Tutorial 1: NLP Base Types." [191]
Then, we can use these Sentence objects to retrieve contextual word embeddings.
But, first, we need to actually load ELMo using ELMoEmbeddings:
from flair.embeddings import ELMoEmbeddings
elmo = ELMoEmbeddings()
elmo.embed(flair_sentences)
Output
[Sentence: "The Hatter was the first to break the silence . ` What
day of the month is it ? ' he said , turning to Alice : he had taken
his watch out of his pocket , and was looking at it uneasily ,
shaking it every now and then , and holding it to his ear ." [
Tokens: 58],
Sentence: "Alice thought this a very curious thing , and she went
nearer to watch them , and just as she came up to them she heard one
of them say , ` Look out now , Five ! Do n't go splashing paint over
me like that !" [ Tokens: 48]]
Contextual Word Embeddings | 951