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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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license: mit |
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--- |
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# Claude Tokenizer |
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A 🤗-compatible version of the **Claude tokenizer** (adapted from [anthropics/anthropic-sdk-python](https://github.com/anthropics/anthropic-sdk-python)). 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/claude-tokenizer') |
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assert tokenizer.encode('hello world') == [9381, 2253] |
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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/claude-tokenizer'); |
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const tokens = tokenizer.encode('hello world'); // [9381, 2253] |
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``` |
