README.md

---

license: mit
library_name: transformers
tags:
 - transformers.js
 - tokenizers
---


# GPT-4o Tokenizer

A 🤗-compatible version of the **GPT-4o 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-4o')

assert tokenizer.encode('hello world') == [24912, 2375]

```

### Transformers.js
```js

import { AutoTokenizer } from '@xenova/transformers';



const tokenizer = await AutoTokenizer.from_pretrained('Xenova/gpt-4o');

const tokens = tokenizer.encode('hello world'); // [24912, 2375]

```