fasttext ☆
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Description:
Library for fast text representation and classification
Type: Formula  |  Latest Version: 0.9.2@0  |  Tracked Since: Dec 17, 2025
Links: Homepage  |  formulae.brew.sh
Category: Ai ml
Tags: nlp machine-learning text-classification embeddings ai
Install: brew install fasttext
About:
FastText is a library for efficient learning of word representations and sentence classification. It provides tools for training text classification models and generating word embeddings with high performance. The library is optimized for speed and scalability, making it suitable for large-scale text analysis tasks.
Key Features:
  • Efficient text classification and word embedding training
  • Support for supervised and unsupervised learning
  • Highly optimized for CPU performance
  • Handles large datasets effectively
Use Cases:
  • Text classification for sentiment analysis or topic labeling
  • Generating word embeddings for NLP pipelines
  • Document categorization and tagging
Alternatives:
  • word2vec – word2vec is older and lacks built-in classification capabilities
  • GloVe – GloVe focuses on global matrix factorization rather than local context windows
License: MIT
Bottles available for: arm64_sequoia, arm64_sonoma, arm64_ventura, arm64_monterey, arm64_big_sur, sonoma, ventura, monterey, big_sur, catalina, x86_64_linux
Version History
Detected Version Rev Change Commit
Sep 14, 2024 8:15pm 0 VERSION_BUMP 0f94d5b8
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