from flair.data import Sentence
from flair.embeddings import CharacterEmbeddings
# init embedding
embedding = CharacterEmbeddings()
# create a sentence
sentence = Sentence('Thegrassisgreen.')
# embed words in sentence
embedding.embed(sentence)
>> sentence[0].embedding
tensor([-0.1791, -0.3325, -0.0258, 0.1107, 0.0461, -0.1355, 0.1788, 0.2209,
-0.0489, -0.0991, -0.0333, -0.0932, -0.2200, 0.0294, 0.0747, 0.2146,
-0.0232, -0.2907, -0.0741, -0.0350, 0.1146, -0.0481, -0.1900, -0.1427,
-0.0726, 0.0602, 0.1475, -0.0538, 0.1749, 0.0477, -0.0310, 0.0537,
0.0026, -0.0469, -0.1125, 0.1101, -0.0472, -0.0446, 0.1157, -0.0930,
-0.1663, 0.0533, 0.0871, -0.0581, -0.0065, 0.1710, -0.0731, -0.0228,
-0.1548, -0.0248], grad_fn=<CatBackward>)
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