library_name: transformers | |
tags: | |
- transformers.js | |
- tokenizers | |
# GPT-4 Tokenizer | |
A 🤗-compatible version of the **GPT-4 tokenizer** (adapted from [openai/tiktoken](https://github.com/openai/tiktoken)). This means it can be used with Hugging Face libraries including [Transformers](https://github.com/huggingface/transformers), [Tokenizers](https://github.com/huggingface/tokenizers), and [Transformers.js](https://github.com/xenova/transformers.js). | |
## Example usage: | |
### Transformers/Tokenizers | |
```py | |
from transformers import GPT2TokenizerFast | |
tokenizer = GPT2TokenizerFast.from_pretrained('Xenova/gpt-4') | |
assert tokenizer.encode('hello world') == [15339, 1917] | |
``` | |
### Transformers.js | |
```js | |
import { AutoTokenizer } from '@xenova/transformers'; | |
const tokenizer = await AutoTokenizer.from_pretrained('Xenova/gpt-4'); | |
const tokens = tokenizer.encode('hello world'); // [15339, 1917] | |
``` | |