Tiktoken is a library for converting raw text into numerical sequences using byte pair encoding schemes. It functions as a toolkit for managing tokenization processes, enabling the transformation of text into the specific numerical formats required by language models.
The library provides mechanisms for automated encoder selection, allowing users to retrieve the correct tokenization configuration based on specific model names. It also supports the definition and registration of custom tokenization schemes, which facilitates the use of specialized vocabularies or unique model architectures within data processing pipelines.
Beyond these core functions, the library includes tools for optimizing text processing tasks and managing tokenization requirements across various machine learning applications. It is designed to handle the conversion of large volumes of text into efficient encoded sequences to support accurate input processing and cost estimation.
