fastText is an open-source library developed by Facebook AI Research (FAIR) for efficient learning of word representations and text classification. It is designed to handle large-scale datasets while providing fast training and inference, making it suitable for both research and production environments.

Features of fastText:

• Efficient text classification with support for supervised and unsupervised learning.
• Fast training of word vectors for natural language processing tasks.
• Subword information handling to improve representations for rare words.
• Support for multiple languages, enabling multilingual applications.
• Pre-trained word vectors available for quick experimentation and deployment.
• Command-line and Python APIs for easy integration into projects.
• Lightweight and optimized for memory and speed, even with large corpora.
• Open-source flexibility, allowing customization and contribution to the library.

To Check the Version of fasttext : pip show fasttext package inside a virtual environment.

Disclaimer: fastText is an open-source software distributed under the MIT License. It is not affiliated with, endorsed by, or sponsored by any other company. fastText is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors to fastText are not responsible for any damages, losses, or consequences resulting from the use of this software. Users are encouraged to review and comply with licensing terms and any applicable regulations when using fastText.