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Update static_embedding.py

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zide05 2019-08-16 16:46:53 +08:00 committed by GitHub
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fastNLP/embeddings/static_embedding.py
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@ -20,12 +20,14 @@ class StaticEmbedding(TokenEmbedding):
当前支持自动下载的预训练vector有以下的几种(待补充);
Example::
>>> from fastNLP import Vocabulary
>>> from fastNLP.embeddings import StaticEmbedding
>>> vocab = Vocabulary().add_word_lst("The whether is good .".split())
>>> embed = StaticEmbedding(vocab, model_dir_or_name='en-glove-50')
>>> embed = StaticEmbedding(vocab, model_dir_or_name='en-glove-50d')
>>> vocab = Vocabulary().add_word_lst(["The", 'the', "THE"])
>>> embed = StaticEmbedding(vocab, model_dir_or_name="en-glove-50", lower=True)
>>> embed = StaticEmbedding(vocab, model_dir_or_name="en-glove-50d", lower=True)
>>> # "the", "The", "THE"它们共用一个vector，且将使用"the"在预训练词表中寻找它们的初始化表示。
>>> vocab = Vocabulary().add_word_lst(["The", "the", "THE"])