chakin

chakin is a downloader for pre-trained word vectors. Supported many vectors

This library lets you download pre-trained word vectors without troublesome work.

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Installation

To install chakin, simply:

$ pip install chakin

Usage

You can download pre-trained word vectors as follows:

$ python

>>> import chakin
>>> chakin.search(lang='English')
                   Name  Dimension                     Corpus VocabularySize  
2          fastText(en)        300                  Wikipedia           2.5M   
11         GloVe.6B.50d         50  Wikipedia+Gigaword 5 (6B)           400K   
12        GloVe.6B.100d        100  Wikipedia+Gigaword 5 (6B)           400K   
13        GloVe.6B.200d        200  Wikipedia+Gigaword 5 (6B)           400K   
14        GloVe.6B.300d        300  Wikipedia+Gigaword 5 (6B)           400K   
15       GloVe.42B.300d        300          Common Crawl(42B)           1.9M   
16      GloVe.840B.300d        300         Common Crawl(840B)           2.2M   
17    GloVe.Twitter.25d         25               Twitter(27B)           1.2M   
18    GloVe.Twitter.50d         50               Twitter(27B)           1.2M   
19   GloVe.Twitter.100d        100               Twitter(27B)           1.2M   
20   GloVe.Twitter.200d        200               Twitter(27B)           1.2M   
21  word2vec.GoogleNews        300          Google News(100B)           3.0M 

>>> chakin.download(number=2, save_dir='./') # select fastText(en)
Test: 100% ||               | Time: 0:00:02  60.7 MiB/s
'./wiki.en.vec'

Supported vectors

So far, chakin supports following word vectors:

Name	Dimension	Corpus	VocabularySize	Method	Language
fastText(ar)	300	Wikipedia	610K	fastText	Arabic
fastText(de)	300	Wikipedia	2.3M	fastText	German
fastText(en)	300	Wikipedia	2.5M	fastText	English
fastText(es)	300	Wikipedia	985K	fastText	Spanish
fastText(fr)	300	Wikipedia	1.2M	fastText	French
fastText(it)	300	Wikipedia	871K	fastText	Italian
fastText(ja)	300	Wikipedia	580K	fastText	Japanese
fastText(ko)	300	Wikipedia	880K	fastText	Korean
fastText(pt)	300	Wikipedia	592K	fastText	Portuguese
fastText(ru)	300	Wikipedia	1.9M	fastText	Russian
fastText(zh)	300	Wikipedia	330K	fastText	Chinese
GloVe.6B.50d	50	Wikipedia+Gigaword 5 (6B)	400K	GloVe	English
GloVe.6B.100d	100	Wikipedia+Gigaword 5 (6B)	400K	GloVe	English
GloVe.6B.200d	200	Wikipedia+Gigaword 5 (6B)	400K	GloVe	English
GloVe.6B.300d	300	Wikipedia+Gigaword 5 (6B)	400K	GloVe	English
GloVe.42B.300d	300	Common Crawl(42B)	1.9M	GloVe	English
GloVe.840B.300d	300	Common Crawl(840B)	2.2M	GloVe	English
GloVe.Twitter.25d	25	Twitter(27B)	1.2M	GloVe	English
GloVe.Twitter.50d	50	Twitter(27B)	1.2M	GloVe	English
GloVe.Twitter.100d	100	Twitter(27B)	1.2M	GloVe	English
GloVe.Twitter.200d	200	Twitter(27B)	1.2M	GloVe	English
word2vec.GoogleNews	300	Google News(100B)	3.0M	word2vec	English
word2vec.Wiki-NEologd.50d	50	Wikipedia	335K	word2vec + NEologd	Japanese