Developer(s) | Facebook's AI Research (FAIR) lab [1] |
---|---|
Initial release | November 9, 2015 |
Stable release | 0.9.2
[2]
/ April 28, 2020 |
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 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]
Developer(s) | Facebook's AI Research (FAIR) lab [1] |
---|---|
Initial release | November 9, 2015 |
Stable release | 0.9.2
[2]
/ April 28, 2020 |
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 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]