from fastNLP.embeddings import StaticEmbedding
word2vec_embed=StaticEmbedding(None, model_dir_or_name='cn-char-fastnlp-100d')
Traceback (most recent call last):
File "d:\data\node_with_att_bert_data_tunnel.py", line 175, in
word2vec_embed=StaticEmbedding(None, model_dir_or_name='cn-char-fastnlp-100d')
File "E:\ProgramData\Anaconda3\lib\site-packages\fastNLP\embeddings\static_embedding.py", line 96, in init
super(StaticEmbedding, self).init(vocab, word_dropout=word_dropout, dropout=dropout)
File "E:\ProgramData\Anaconda3\lib\site-packages\fastNLP\embeddings\embedding.py", line 127, in init
if vocab.rebuild:
AttributeError: 'NoneType' object has no attribute 'rebuild'
from fastNLP.embeddings import StaticEmbedding word2vec_embed=StaticEmbedding(None, model_dir_or_name='cn-char-fastnlp-100d')
Traceback (most recent call last): File "d:\data\node_with_att_bert_data_tunnel.py", line 175, in
word2vec_embed=StaticEmbedding(None, model_dir_or_name='cn-char-fastnlp-100d')
File "E:\ProgramData\Anaconda3\lib\site-packages\fastNLP\embeddings\static_embedding.py", line 96, in init
super(StaticEmbedding, self).init(vocab, word_dropout=word_dropout, dropout=dropout)
File "E:\ProgramData\Anaconda3\lib\site-packages\fastNLP\embeddings\embedding.py", line 127, in init
if vocab.rebuild:
AttributeError: 'NoneType' object has no attribute 'rebuild'
请问可否有其他的方法将embedding的所有字加载,或者直接生成对应的Vocabulary?