nlpaug.util.file.download

class nlpaug.util.file.download.DownloadUtil

Bases: object

Helper function for downloading external dependency

>>> from nlpaug.util.file.download import DownloadUtil

static download_fasttext(model_name, dest_dir)

Parameters:

• model_name (str) – GloVe pre-trained model name. Possible values are ‘wiki-news-300d-1M’, ‘wiki-news-300d-1M-subword’, ‘crawl-300d-2M’ and ‘crawl-300d-2M-subword’
• dest_dir (str) – Directory of saving file

>>> DownloadUtil.download_fasttext('glove.6B', '.')

static download_glove(model_name, dest_dir)

Parameters:

• model_name (str) – GloVe pre-trained model name. Possible values are ‘glove.6B’, ‘glove.42B.300d’, ‘glove.840B.300d’ and ‘glove.twitter.27B’
• dest_dir (str) – Directory of saving file

>>> DownloadUtil.download_glove('glove.6B', '.')

static download_word2vec(dest_dir: str = '.')

Parameters:dest_dir (str) – Directory of saving file Returns:Word2Vec C binary file named ‘GoogleNews-vectors-negative300.bin’

>>> DownloadUtil.download_word2vec('.')

static unzip(file_path, dest_dir=None)

Parameters:file_path (str) – File path for unzip

>>> DownloadUtil.unzip('zip_file.zip')