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`!fastText`! is a library for learning of `F33f`_`[word embeddings`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=Word_embedding]`_`f and text classification created by `F33f`_`[Facebook`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=Facebook]`_`f's AI Research (FAIR) lab.`:cite-ref-3[`F5bf`_`[3`#cite-note-3]`_`f]`:cite-ref-4[`F5bf`_`[4`#cite-note-4]`_`f]`:cite-ref-5[`F5bf`_`[5`#cite-note-5]`_`f]`:cite-ref-6[`F5bf`_`[6`#cite-note-6]`_`f] The model allows one to create an `F33f`_`[unsupervised learning`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=Unsupervised_learning]`_`f or `F33f`_`[supervised learning`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=Supervised_learning]`_`f algorithm for obtaining vector representations for words. Facebook makes available pretrained models for 294 languages.`:cite-ref-7[`F5bf`_`[7`#cite-note-7]`_`f]`:cite-ref-8[`F5bf`_`[8`#cite-note-8]`_`f] Several papers describe the techniques used by fastText.`:cite-ref-9[`F5bf`_`[9`#cite-note-9]`_`f]`:cite-ref-10[`F5bf`_`[10`#cite-note-10]`_`f]`:cite-ref-11[`F5bf`_`[11`#cite-note-11]`_`f]`:cite-ref-12[`F5bf`_`[12`#cite-note-12]`_`f] The GitHub repository has been archived on March 19, 2024.

>>Contents

• `F0af`_`[See also`#see-also]`_`f

• `F0af`_`[References`#references]`_`f

• `F0af`_`[External links`#external-links]`_`f

-─

>>See also

• `F33f`_`[Word2vec`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=Word2vec]`_`f

• `F33f`_`[GloVe`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=GloVe]`_`f

• `F33f`_`[Neural network (machine learning)`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=Neural_network_(machine_learning)]`_`f

• `F33f`_`[Natural language processing`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=Natural_language_processing]`_`f

>>References

`:cite-note-1`!1.`! `:citerefmannes`aMannes, John. "Facebook's fastText library is now optimized for mobile". `*`F33f`_`[TechCrunch`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=TechCrunch]`_`f`*. Retrieved 12 January 2018.

`:cite-note-gith-face-v0-9-2-2`!2.`! `:citerefonur-elebi2020`aOnur Çelebi (2020-04-28). "facebookresearch/fastText/releases/tag/v0.9.2". `*Facebook`*. Retrieved 2020-11-21.

`:cite-note-3`!3.`! `F0af`_`[↑`#cite-ref-3]`_`f `:citerefmannes`aMannes, John. "Facebook's fastText library is now optimized for mobile". `*`F33f`_`[TechCrunch`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=TechCrunch]`_`f`*. Retrieved 12 January 2018.

`:cite-note-4`!4.`! `F0af`_`[↑`#cite-ref-4]`_`f `:citerefryan`aRyan, Kevin J. "Facebook's New Open Source Software Can Learn 1 Billion Words in 10 Minutes". `*`F33f`_`[Inc.`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=Inc._(magazine)]`_`f`* Retrieved 12 January 2018.

`:cite-note-5`!5.`! `F0af`_`[↑`#cite-ref-5]`_`f `:citereflow`aLow, Cherlynn. "Facebook is open-sourcing its AI bot-building research". `*`F33f`_`[Engadget`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=Engadget]`_`f`*. Retrieved 12 January 2018.

`:cite-note-6`!6.`! `F0af`_`[↑`#cite-ref-6]`_`f `:citerefmannes`aMannes, John. "Facebook's Artificial Intelligence Research lab releases open source fastText on GitHub". `*`F33f`_`[TechCrunch`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=TechCrunch]`_`f`*. Retrieved 12 January 2018.

`:cite-note-7`!7.`! `F0af`_`[↑`#cite-ref-7]`_`f `:citerefsabin`aSabin, Dyani. "Facebook Makes A.I. Program Available in 294 Languages". `*`F33f`_`[Inverse`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=Inverse_(website)]`_`f`*. Retrieved 12 January 2018.

`:cite-note-8`!8.`! `F0af`_`[↑`#cite-ref-8]`_`f "Wiki word vectors". `*fastText`*. Retrieved 26 November 2020.

`:cite-note-9`!9.`! `F0af`_`[↑`#cite-ref-9]`_`f "References · fastText". `*fasttext.cc`*. Retrieved 2021-09-08.

`:cite-note-10`!10.`! `F0af`_`[↑`#cite-ref-10]`_`f `:citerefbojanowskigravejoulinmikolov2017`aBojanowski, Piotr; Grave, Edouard; Joulin, Armand; Mikolov, Tomas (2017-06-19). "Enriching Word Vectors with Subword Information". `F33f`_`[arXiv`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=ArXiv_(identifier)]`_`f:1607.04606 [cs.CL].

`:cite-note-11`!11.`! `F0af`_`[↑`#cite-ref-11]`_`f `:citerefjoulingravebojanowskimikolov2016`aJoulin, Armand; Grave, Edouard; Bojanowski, Piotr; Mikolov, Tomas (2016-08-09). "Bag of Tricks for Efficient Text Classification". `F33f`_`[arXiv`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=ArXiv_(identifier)]`_`f:1607.01759 [cs.CL].

`:cite-note-12`!12.`! `F0af`_`[↑`#cite-ref-12]`_`f `:citerefjoulingravebojanowskidouze2016`aJoulin, Armand; Grave, Edouard; Bojanowski, Piotr; Douze, Matthijs; Jégou, Hérve; Mikolov, Tomas (2016-12-12). "FastText.zip: Compressing text classification models". `F33f`_`[arXiv`:/page/wikibook/entry.mu`zim=wikipedia_en_all_nopic_2025-08.zim|entry_path=ArXiv_(identifier)]`_`f:1612.03651 [cs.CL].

>>External links

• fastText

• https://research.fb.com/downloads/fasttext/

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