FastText: Difference between revisions
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| developer = [[Facebook]]'s AI Research (FAIR) lab<ref>{{cite web|last1=Mannes|first1=John|title=Facebook’s fastText library is now optimized for mobile|url=https://techcrunch.com/2017/05/02/facebooks-fasttext-library-is-now-optimized-for-mobile/|website=[[TechCrunch]]|accessdate=12 January 2018}}</ref> |
| developer = [[Facebook]]'s AI Research (FAIR) lab<ref>{{cite web|last1=Mannes|first1=John|title=Facebook’s fastText library is now optimized for mobile|url=https://techcrunch.com/2017/05/02/facebooks-fasttext-library-is-now-optimized-for-mobile/|website=[[TechCrunch]]|accessdate=12 January 2018}}</ref> |
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| released = {{Start date and age|2015|11|09}} |
| released = {{Start date and age|2015|11|09}} |
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| latest release version = 0. |
| latest release version = 0.2.0<ref name="gith_face_v0.2.0">{{Cite web | title = facebookresearch/fastText/releases/tag/v0.2.0 | author = Onur Çelebi | work = Facebook | date = 2018-12-19 | accessdate = 2019-03-18 | url = https://github.com/facebookresearch/fastText/releases/tag/v0.2.0 | quote = }}</ref> |
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| latest release date = {{Start date and age| |
| latest release date = {{Start date and age|2018|12|19}} |
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| repo = {{URL|https://github.com/facebookresearch/fastText}} |
| repo = {{URL|https://github.com/facebookresearch/fastText}} |
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| programming language = [[C++]], [[Python (programming language)|Python]] |
| programming language = [[C++]], [[Python (programming language)|Python]] |
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Revision as of 18:00, 18 March 2019
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| Developer(s) | Facebook's AI Research (FAIR) lab[1] |
|---|---|
| Initial release | November 9, 2015 |
| Stable release | 0.2.0[2]
/ December 19, 2018 |
| 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 a neural network for word embedding.
See also
References
- ^ Mannes, John. "Facebook's fastText library is now optimized for mobile". TechCrunch. Retrieved 12 January 2018.
- ^ Onur Çelebi (2018-12-19). "facebookresearch/fastText/releases/tag/v0.2.0". Facebook. Retrieved 2019-03-18.
- ^ 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
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