Set pretrained_vectors in parser cfg
@@ -255,8 +255,9 @@ cdef class Parser:
raise ValueError("Currently history size is hard-coded to 0")
if hist_width != 0:
raise ValueError("Currently history width is hard-coded to 0")
+ pretrained_vectors = cfg.get('pretrained_vectors', None)
tok2vec = Tok2Vec(token_vector_width, embed_size,
- pretrained_vectors=cfg.get('pretrained_vectors', None))
+ pretrained_vectors=pretrained_vectors)
tok2vec = chain(tok2vec, flatten)
lower = PrecomputableAffine(hidden_width,
nF=cls.nr_feature, nI=token_vector_width,
@@ -275,6 +276,7 @@ cdef class Parser:
'token_vector_width': token_vector_width,
'hidden_width': hidden_width,
'maxout_pieces': parser_maxout_pieces,
+ 'pretrained_vectors': pretrained_vectors,
'hist_size': hist_size,
'hist_width': hist_width
}
