tokenizers v1: encode, decode and scaling, measured

Hugging Face has released tokenizers v1, a library designed to improve the performance and consistency of text processing across different machine learning models. By providing standardized tools for encoding and decoding, the update aims to address long-standing compatibility issues that often complicate data preprocessing for developers. The release focuses on enhancing scaling capabilities, ensuring that text tokenization remains efficient as model architectures grow in complexity.