分词器v1发布候选版
该分词库正在进行一次重大的更新,采用基于位流的编码和解码方法,重点在于提高性能和效率。此次更新旨在使分词成为机器学习工作流程中的更重要组成部分,可能会加速或减缓机器学习过程。
该分词库正在进行一次重大的更新,采用基于位流的编码和解码方法,重点在于提高性能和效率。此次更新旨在使分词成为机器学习工作流程中的更重要组成部分,可能会加速或减缓机器学习过程。
Results What V1 Is The Split: Bitstreams Instead Of A Regex The Word Cache The Merge Loop Method What This Adds Up To Getting It Progress Towards V1 Release Candidate: Implemented 1.0.0 After 1.0.0 The tokenizer has not historically been the bottleneck within ML workflows. Compu…
This is why we have chosen to heavily focus on performance for the upcoming version 1 of tokenizers. Tokenization should be light and should scale with your workflow.