fastText
| fastText | |
|---|---|
 | |
| Developer(s) | Facebook's AI Research (FAIR) lab[1] |
| Initial release | November 9, 2015 |
| Stable release | 0.1[2]
/ December 1, 2017 |
| Repository | github |
| Written in | C++, Python |
| Platform | Linux, macOS, Windows |
| Type | Machine learning library |
| License | BSD 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 to create an unsupervised learning or supervised learning algorithm for obtaining vector representations for words. Facebook makes available pretrained models for 294 languages.[7]fastText uses Neural network for word embedding
See also
References
- ^ Mannes, John. "Facebook's fastText library is now optimized for mobile". TechCrunch. Retrieved 12 January 2018.
- ^ Joel Marcey (2017-12-01). "facebookresearch/fastText/releases/tag/v0.1.0". Facebook. Retrieved 2018-05-11.
First official 0.1 release
- ^ Mannes, John. "Facebook's fastText library is now optimized for mobile". TechCrunch. Retrieved 12 January 2018.
- ^ Ryan, Kevin J. "Facebook's New Open Source Software Can Learn 1 Billion Words in 10 Minutes". Inc. Retrieved 12 January 2018.
- ^ Low, Cherlynn. "Facebook is open-sourcing its AI bot-building research". Engadget. Retrieved 12 January 2018.
- ^ Mannes, John. "Facebook's Artificial Intelligence Research lab releases open source fastText on GitHub". TechCrunch. Retrieved 12 January 2018.
- ^ Sabin, Dyani. "Facebook Makes A.I. Program Available in 294 Languages". Inverse. Retrieved 12 January 2018.
External links
 | This technology-related article is a stub. You can help Wikipedia by expanding it. |