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It would be great to have 1:1 parity with the python implementation.
Adding this function would be a step in that direction.
I already created my own implementation:
// This is an implementation of the missing TikTok token decoding functions available in Python
// The code is based on the Python implementation in the TikTok library
function decode_token_bytes(tokens, enc) {
let result = [];
for (const token of tokens) {
result.push(enc.decode_single_token_bytes(token));
}
return result;
}
function decode_with_offsets(tokens, enc) {
/**
* Decodes a list of tokens into a string and a list of offsets.
*
* Each offset is the index into text corresponding to the start of each token.
* If UTF-8 character boundaries do not line up with token boundaries, the offset is_ the index
* of the first character that contains bytes from the token.
*
* This will currently throw an error if given tokens that decode to invalid UTF-8; this behavior may
* change in the future to be more permissive.
*
* >>> enc.decodeWithOffsets([31373, 995])
* ['hello world', [0, 5]]
*/
const tokenBytes = decode_token_bytes(tokens, enc);
let textLen = 0;
const offsets = [];
for (const token of tokenBytes) {
offsets.push(Math.max(0, textLen - (token[0] >= 0x80 && token[0] < 0xC0 ? 1 : 0)));
textLen += token.filter(c => !(c >= 0x80 && c < 0xC0)).length;
}
// TODO: assess correctness for errors="ignore" and errors="replace"
const text = Buffer.concat(tokenBytes).toString('utf-8');
return [text, offsets];
}
export { decode_with_offsets }
which I then use like this:
import { encoding_for_model } from "tiktoken";
import { decode_with_offsets } from "./modules/TiktokenExtra.js";
const enc = encoding_for_model("gpt-4");
const test_string = "lorém ipsum dolor sit amet, consectetur adipiscing elit sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.";
let tokens = enc.encode(test_string);
let [decoded_text, offsets] = decode_with_offsets(tokens, enc);
I'm happy to create a PR to add this to the library. I just need some guidance into where exactly this logic should go
The text was updated successfully, but these errors were encountered:
It would be great to have 1:1 parity with the python implementation.
Adding this function would be a step in that direction.
I already created my own implementation:
which I then use like this:
I'm happy to create a PR to add this to the library. I just need some guidance into where exactly this logic should go
The text was updated successfully, but these errors were encountered: