This is a C++ implementation of a tiktoken tokenizer library for C++. It was heavily inspired by https://github.com/dmitry-brazhenko/SharpToken
To use, first somewhere have a lines in your project that reads something like:
#include "tiktoken/enconding.h"
....
auto encoder = GptEncoding::get_encoding(<model name>);
The value returned from this function is an std::shared_ptr and you will not have to manage its memory.
Supported language models that you can pass as a parameter to this function are:
LanguageModel::CL100K_BASE
LanguageModel::R50K_BASE
LanguageModel::P50K_BASE
LanguageModel::P50K_EDIT
After obtaining an encoder, you can then call
auto tokens = encoder->encode(string_to_encode);
This returns a vector of the tokens for that language model.
You can decode a vector of tokens back into its original string with
auto string_value = encoder->decode(tokens)
