 | |
| Developer(s) | Facebook's AI Research (FAIR) lab[1] |
|---|---|
| Initial release | November 9, 2015; 9 years ago (2015-11-09) |
| Stable release | |
| Repository | github |
| Written in | C++,Python |
| Platform | Linux,macOS,Windows |
| Type | Machine learninglibrary |
| License | MIT License |
| Website | fasttext |
fastText is a library for learning ofword embeddings and text classification created byFacebook's AI Research (FAIR) lab.[3][4][5][6] The model allows one to create anunsupervised learning orsupervised 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]
.svg){kind=logo} | Thisfree and open-source software article is astub. You can help Wikipedia byexpanding it. |