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20dbb3c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | # ⏳ js-tiktoken
tiktoken is a [BPE](https://en.wikipedia.org/wiki/Byte_pair_encoding) tokeniser for use with
OpenAI's models. This is a pure JS port of the original tiktoken library.
Install the library from NPM:
```
npm install js-tiktoken
```
## Lite
You can only load the ranks you need, which will significantly reduce the bundle size:
```typescript
import { Tiktoken } from "js-tiktoken/lite";
import o200k_base from "js-tiktoken/ranks/o200k_base";
const enc = new Tiktoken(o200k_base);
assert(enc.decode(enc.encode("hello world")) === "hello world");
```
Alternatively, encodings can be loaded dynamically from our CDN hosted on Cloudflare Pages.
```typescript
import { Tiktoken } from "js-tiktoken/lite";
const res = await fetch(`https://tiktoken.pages.dev/js/o200k_base.json`);
const o200k_base = await res.json();
const enc = new Tiktoken(o200k_base);
assert(enc.decode(enc.encode("hello world")) === "hello world");
```
## Full usage
If you need all the OpenAI tokenizers, you can import the entire library:
> [!CAUTION]
> This will include all the OpenAI tokenizers, which may significantly increase the bundle size. See
```typescript
import assert from "node:assert";
import { getEncoding, encodingForModel } from "js-tiktoken";
const enc = getEncoding("gpt2");
assert(enc.decode(enc.encode("hello world")) === "hello world");
```
|