ze/tokenizer-gpt3
Composer 安装命令:
composer require ze/tokenizer-gpt3
包简介
PHP package for Byte Pair Encoding (BPE) used by GPT-3.
README 文档
README
This Project is fork from Gioni06/GPT3Tokenizer
Just do some changes for PHP 7.4 compatibility
This is a PHP port of the GPT-3 tokenizer. It is based on the original Python implementation and the Nodejs implementation.
GPT-2 and GPT-3 use a technique called byte pair encoding to convert text into a sequence of integers, which are then used as input for the model. When you interact with the OpenAI API, you may find it useful to calculate the amount of tokens in a given text before sending it to the API.
If you want to learn more, read the Summary of the tokenizers from Hugging Face.
Installation
composer require ze/tokenizer-gpt3
Use the configuration Class
$defaultConfig = new Gpt3TokenizerConfig(); $customConfig = new Gpt3TokenizerConfig(); $customConfig ->vocabPath('custom_vocab.json') ->mergesPath('custom_merges.txt') ->useCache(false)
A note on caching
The tokenizer will try to use apcu for caching, if that is not available it will use a plain PHP array.
You will see slightly better performance for long texts when using the cache. The cache is enabled by default.
Encode a text
$config = new Gpt3TokenizerConfig(); $tokenizer = new Gpt3Tokenizer($config); $text = "This is some text"; $tokens = $tokenizer->encode($text); // [1212,318,617,2420]
Decode a text
$config = new Gpt3TokenizerConfig(); $tokenizer = new Gpt3Tokenizer($config); $tokens = [1212,318,617,2420] $text = $tokenizer->decode($tokens); // "This is some text"
Count the number of tokens in a text
$config = new Gpt3TokenizerConfig(); $tokenizer = new Gpt3Tokenizer($config); $text = "This is some text"; $numberOfTokens = $tokenizer->count($text); // 4
License
This project uses the Apache License 2.0 license. See the LICENSE file for more information.
ze/tokenizer-gpt3 适用场景与选型建议
ze/tokenizer-gpt3 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 27.93k 次下载、GitHub Stars 达 1, 最近一次更新时间为 2023 年 02 月 28 日, 在 PHP 生态内属于活跃度较高的组件。
它主要适用于以下技术方向: 「tokenizer」 「encode」 「decode」 「GPT-3」 「openai」 「gpt-2」 等业务场景。在实际项目中,围绕这些方向常见需要落地的问题包括:接口对接、性能调优、并发安全、与既有框架(Laravel / ThinkPHP / Yii / Webman 等)的兼容适配,以及生产环境的日志埋点与稳定性保障。
我们在过去多个企业项目中使用过 ze/tokenizer-gpt3 或与其功能相近的方案,如果你在选型或落地过程中遇到问题,例如 版本兼容、二次改造、私有化封装、与内部系统对接、生产 BUG 排查,欢迎联系我们协助评估。
基于 ze/tokenizer-gpt3 在你已有业务上做功能扩展、字段裁剪、UI 适配、与内部账号 / 权限 / 日志系统的深度对接。
线上偶发问题、内存泄漏、慢查询、并发异常等排查修复;针对高流量场景做缓存、队列、索引层面的调优。
承接完整的项目从需求 → 设计 → 开发 → 上线 → 长期运维;也可按月提供技术保姆服务。
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统计信息
- 总下载量: 27.93k
- 月度下载量: 0
- 日度下载量: 0
- 收藏数: 1
- 点击次数: 24
- 依赖项目数: 0
- 推荐数: 0
其他信息
- 授权协议: Apache-2.0
- 更新时间: 2023-02-28