tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

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💡 Why It Matters

Tokenizers is a crucial open source tool for engineering teams focused on natural language processing. It addresses the need for fast and efficient tokenization, which is essential for training and deploying machine learning models. ML/AI teams, particularly those working with large language models like BERT and GPT, will find this library beneficial due to its production-ready solution that optimises both research and real-world applications. The maturity level is high, with extensive community support and ongoing improvements. However, it may not be the right choice for projects that require extensive customisation or those with very specific tokenisation needs that are not covered by standard models.

🎯 When to Use

This is a strong choice when teams need a reliable and efficient tokenisation process for large datasets in machine learning applications. Teams should consider alternatives if they require highly specific tokenisation techniques or if they are working with less common languages.

👥 Team Fit & Use Cases

Data scientists, machine learning engineers, and AI researchers are the primary users of Tokenizers. It is typically included in products and systems that involve natural language understanding, such as chatbots, search engines, and automated content generation tools.

🎭 Best For

🏷️ Topics & Ecosystem

bert gpt language-model natural-language-processing natural-language-understanding nlp transformers

📊 Activity

Latest commit: 2026-02-11. Over the past 96 days, this repository gained 259 stars (+2.5% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.