fastText

fastText is a library where Facebook AI Research develops word representations for efficient learning and sentence/text classification. It is written in C++11; it is used with command line tool and Python bindings, offering language recognition models with ready word vectors for 157 languages trained on Wikipedia and Crawl. GitHub repository is archived (read-only) by the owner, with no active development.

FA

facebookresearch · Translation & NLP

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FORKS4.8K
COMMITS—
CONTRIBUTORS68
VERSIONv0.9.2
UPDATED2 yr ago
NLPtext-classificationword-vectorsfacebookMIT

Common commercial products in this category: Google Translate, DeepL, Microsoft Translator

What can it do?
  • You train word vector learning models.
  • You get vector representations for non-vocabulary words.
  • You can perform text classification operations.
Heads up
  • • Repository is archived (no longer maintained)
  • • Last update 2 years ago
  • • High number of open issues (554)
User reviews
  • • NeutralHacker News

    Facebook AI Research Open Sources fastText

    “Jupyter notebook with some numbers on performance and accuracy of fastText: This compares fastText against the word2vec implementation in gensim, on the syntactic/semantic word analogy task. (raw pull request with comments: )”

Verified against README · Oct 26, 2026 · source

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