Software:fastText
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Developer(s) | Facebook's AI Research (FAIR) lab[1] |
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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]
See also
References
- ↑ Mannes, John. "Facebook's fastText library is now optimized for mobile". https://techcrunch.com/2017/05/02/facebooks-fasttext-library-is-now-optimized-for-mobile/. Retrieved 12 January 2018.
- ↑ Onur Çelebi (2020-04-28). "facebookresearch/fastText/releases/tag/v0.9.2". Facebook. https://github.com/facebookresearch/fastText/releases/tag/v0.9.2. Retrieved 2020-11-21.
- ↑ Mannes, John. "Facebook's fastText library is now optimized for mobile". https://techcrunch.com/2017/05/02/facebooks-fasttext-library-is-now-optimized-for-mobile/. Retrieved 12 January 2018.
- ↑ Ryan, Kevin J.. "Facebook's New Open Source Software Can Learn 1 Billion Words in 10 Minutes". https://www.inc.com/kevin-j-ryan/facebook-open-source-fasttext-learns-1-billion-words-in-10-minutes.html. Retrieved 12 January 2018.
- ↑ Low, Cherlynn. "Facebook is open-sourcing its AI bot-building research". https://www.engadget.com/2016/08/18/facebook-open-sourcing-fasttext/. Retrieved 12 January 2018.
- ↑ Mannes, John. "Facebook's Artificial Intelligence Research lab releases open source fastText on GitHub". https://techcrunch.com/2016/08/18/facebooks-artificial-intelligence-research-lab-releases-open-source-fasttext-on-github/. Retrieved 12 January 2018.
- ↑ Sabin, Dyani. "Facebook Makes A.I. Program Available in 294 Languages". https://www.inverse.com/article/31075-facebook-machine-learning-language-fasttext. Retrieved 12 January 2018.
- ↑ "Wiki word vectors" (in en-US). https://fasttext.cc/docs/en/pretrained-vectors.html. Retrieved 26 November 2020.
- ↑ "References · fastText" (in en). https://fasttext.cc/index.html.
- ↑ Bojanowski, Piotr; Grave, Edouard; Joulin, Armand; Mikolov, Tomas (2017-06-19). "Enriching Word Vectors with Subword Information". arXiv:1607.04606 [cs.CL].
- ↑ Joulin, Armand; Grave, Edouard; Bojanowski, Piotr; Mikolov, Tomas (2016-08-09). "Bag of Tricks for Efficient Text Classification". arXiv:1607.01759 [cs.CL].
- ↑ Joulin, Armand; Grave, Edouard; Bojanowski, Piotr; Douze, Matthijs; Jégou, Hérve; Mikolov, Tomas (2016-12-12). "FastText.zip: Compressing text classification models". arXiv:1612.03651 [cs.CL].
External links
![]() | Original source: https://en.wikipedia.org/wiki/FastText.
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