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license: mit |
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--- |
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## GPT-2 Tokenizer with unmerged digits |
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A fork of the GPT-2 tokenizer, which **removes multi-digit tokens**: |
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```python |
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from transformers import AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained('cyrilzhang/gpt2-numfix') |
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tokenizer('123.45') # [16, 17, 18, 13, 19, 20] |
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gpt2_tokenizer('123.45') # [10163, 13, 2231] |
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``` |
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Backward-compatible: |
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```python |
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tokenizer.decode([10163, 46387]) # '<unused123> pigeon' |
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gpt2_tokenizer.decode([10163, 46387]) # '123 pigeon' |
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``` |
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- This is for my investigations into the arithmetic capabilities of large language models. There is no model here, only a tokenizer. |
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- [PaLM](https://arxiv.org/abs/2204.02311) does this. I think it's very reasonable. |
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- Many models (illustriously, [GPT-3](https://arxiv.org/abs/2005.14165)) don't do this, because they use the GPT-2 tokenizer. |
