fastText

Designed to run on standard, general-purpose hardware, it makes efficient text processing accessible without requiring specialized equipment. Its models can also be reduced in size, including for use on mobile devices. The project provides tools and resources for developers and researchers working with text classification and language representations.

Users can get started with the library, download pre-trained models, and consult tutorials, frequently asked questions, and detailed API documentation. Available model downloads include English word vectors trained on web crawl data and Wikipedia, as well as multilingual word vectors covering 157 languages. The site also offers an introductory video and links to research papers on subword information, efficient text classification, and model compression.

For further support, fastText directs users to its community channels, including Facebook, Stack Overflow, and Google Groups, alongside its blog and GitHub repository. Together, these resources help users learn, apply, and explore the library.