5.2 KB · ⇊ 4 parts · ⤓ Micron 5.2 KB · ⤓ HTML 40.1 KB

top

fastText is a library for learning of word embeddings and text classification created by Facebook's AI Research (FAIR) lab.cite-ref-3[3]cite-ref-4[4]cite-ref-5[5]cite-ref-6[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.cite-ref-7[7]cite-ref-8[8] Several papers describe the techniques used by fastText.cite-ref-9[9]cite-ref-10[10]cite-ref-11[11]cite-ref-12[12] The GitHub repository has been archived on March 19, 2024.

• See also

• References

• External links

• Word2vec

• GloVe

• Neural network (machine learning)

• Natural language processing

cite-note-11. citerefmannesMannes, John. "Facebook's fastText library is now optimized for mobile". TechCrunch. Retrieved 12 January 2018.

cite-note-gith-face-v0-9-2-22. citerefonur-elebi2020Onur Çelebi (2020-04-28). "facebookresearch/fastText/releases/tag/v0.9.2". Facebook. Retrieved 2020-11-21.

cite-note-33. ↑ citerefmannesMannes, John. "Facebook's fastText library is now optimized for mobile". TechCrunch. Retrieved 12 January 2018.

cite-note-44. ↑ citerefryanRyan, Kevin J. "Facebook's New Open Source Software Can Learn 1 Billion Words in 10 Minutes". Inc. Retrieved 12 January 2018.

cite-note-55. ↑ citereflowLow, Cherlynn. "Facebook is open-sourcing its AI bot-building research". Engadget. Retrieved 12 January 2018.

cite-note-66. ↑ citerefmannesMannes, John. "Facebook's Artificial Intelligence Research lab releases open source fastText on GitHub". TechCrunch. Retrieved 12 January 2018.

cite-note-77. ↑ citerefsabinSabin, Dyani. "Facebook Makes A.I. Program Available in 294 Languages". Inverse. Retrieved 12 January 2018.

cite-note-88. ↑ "Wiki word vectors". fastText. Retrieved 26 November 2020.

cite-note-99. ↑ "References · fastText". fasttext.cc. Retrieved 2021-09-08.

cite-note-1010. ↑ citerefbojanowskigravejoulinmikolov2017Bojanowski, Piotr; Grave, Edouard; Joulin, Armand; Mikolov, Tomas (2017-06-19). "Enriching Word Vectors with Subword Information". arXiv:1607.04606 [cs.CL].

cite-note-1111. ↑ citerefjoulingravebojanowskimikolov2016Joulin, Armand; Grave, Edouard; Bojanowski, Piotr; Mikolov, Tomas (2016-08-09). "Bag of Tricks for Efficient Text Classification". arXiv:1607.01759 [cs.CL].

cite-note-1212. ↑ citerefjoulingravebojanowskidouze2016Joulin, 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].

• fastText

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