Developer(s) | Facebook's AI Research (FAIR) lab[1] |
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Initial release | November 9, 2015; 8 years ago (2015-11-09) |
Stable release | 0.9.2[2] / April 28, 2020; 4 years ago (2020-04-28) |
Repository | github |
Written in | C++, Python |
Platform | Linux, macOS, Windows |
Type | Machine learning library |
License | MIT License |
Website | fasttext |
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 learningorsupervised 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]
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