FastText
Programming library
From Wikipedia, the free encyclopedia
fastText is a library for learning of word embeddings and text classification created by Facebook's AI Research (FAIR) lab.[3][4][5][6] The model allows one to create an unsupervised learning or supervised learning algorithm for obtaining vector representations for words. Facebook makes available pretrained models for 294 languages.[7][8] Several papers describe the techniques used by fastText.[9][10][11][12] The GitHub repository was archived on March 19, 2024.
Initial releaseNovember 9, 2015
Stable release
0.9.2[2]
/ April 28, 2020
| fastText | |
|---|---|
 | |
| Developer | Facebook's AI Research (FAIR) lab[1] |
| Initial release | November 9, 2015 |
| Stable release | 0.9.2[2]
/ April 28, 2020 |
| Written in | C++, Python |
| Platform | Linux, macOS, Windows |
| Type | Machine learning library |
| License | MIT License |
| Website | fasttext |
| Repository | github |
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