---
license: mit
---

## GPT-2 Tokenizer with unmerged digits

```python
from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained('cyrilzhang/gpt2-numfix')
```

A fork of the GPT-2 tokenizer, which **removes multi-digit tokens**:
```python
tokenizer('123.45')  # [16, 17, 18, 13, 19, 20]
gpt2_tokenizer('123.45')  # [10163, 13, 2231]
```

Backwards-compatible:
```python
tokenizer.decode([10163, 46387])  # '<unused123> pigeon'
gpt2_tokenizer.decode([10163, 46387])  # '123 pigeon'
```

- This is for my investigations into the arithmetic capabilities of large language models. There is no model here, only a tokenizer.
- [PaLM](https://arxiv.org/abs/2204.02311) does this.
- Many models (illustriously, [GPT-3](https://arxiv.org/abs/2005.14165)) use the GPT-2 tokenizer, which doesn't do this.