nlp gensim fasttext word2vec
gensim train model error assert vocab_n == len(model.wv.vocab)
https://github.com/RaRe-Technologies/gensim/issues/2853
fixed in new version
pip install gensim -U
gensim train fasttext model
https://radimrehurek.com/gensim/models/word2vec.html
https://radimrehurek.com/gensim/models/fasttext.html?highlight=fasttext#module-gensim.models.fasttext
import json
import gensim
with open("train_voc.json", "r") as file:
	sents = json.load(file)
model = gensim.models.fasttext.load_facebook_model("cc.de.300.bin")
model.build_vocab(sents, update=True)
model.train(corpus_iterable=sents, total_examples=len(sents), epochs=2)
gensim.models.fasttext.save_facebook_model(model, "cc.de.300.tuned.bin")
train_voc.json 格式
[
  [
	"This",
	"module",
	"allows",
	"training",
	"word",
	"embeddings",
	"from",
	"a",
	"training",
	"corpus"
  ],
  [
	"The",
	"additional",
	"ability",
	"to",
	"obtain",
	"word",
	"vectors",
	"for",
	"out-of-vocabulary",
	"words"
  ]
]
作者:brookin            
出处:http://www.cnblogs.com/brookin/
本文采用知识共享署名-非商业性使用-相同方式共享 2.5 中国大陆许可协议进行许可,欢迎转载,但未经作者同意必须保留此段声明,且在文章页面明显位置给出原文连接。
出处:http://www.cnblogs.com/brookin/
本文采用知识共享署名-非商业性使用-相同方式共享 2.5 中国大陆许可协议进行许可,欢迎转载,但未经作者同意必须保留此段声明,且在文章页面明显位置给出原文连接。
 
                    
                     
                    
                 
                    
                
 
                
            
         
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浙公网安备 33010602011771号