From e22a94f9f08346dca9132768b7dba455af246b3e Mon Sep 17 00:00:00 2001 From: zide05 <845465009@qq.com> Date: Fri, 16 Aug 2019 16:46:53 +0800 Subject: [PATCH] Update static_embedding.py --- fastNLP/embeddings/static_embedding.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/fastNLP/embeddings/static_embedding.py b/fastNLP/embeddings/static_embedding.py index 94f7adb5..c2aa1c49 100644 --- a/fastNLP/embeddings/static_embedding.py +++ b/fastNLP/embeddings/static_embedding.py @@ -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"])