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README.md
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---
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library_name: transformers
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tags:
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- transformers.js
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- tokenizers
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---
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# GPT-3.5-turbo Tokenizer
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A 🤗-compatible version of the **GPT-3.5-turbo 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).
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## Example usage:
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### Transformers/Tokenizers
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```py
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from transformers import GPT2TokenizerFast
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tokenizer = GPT2TokenizerFast.from_pretrained('Xenova/gpt-3.5-turbo')
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assert tokenizer.encode('hello world') == [15339, 1917]
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```
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### Transformers.js
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```js
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import { AutoTokenizer } from '@xenova/transformers';
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const tokenizer = await AutoTokenizer.from_pretrained('Xenova/gpt-3.5-turbo');
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const tokens = tokenizer.encode('hello world'); // [15339, 1917]
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```
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