syntaxi 0.1.7

Make your tokenizer more syntax-friendly.

🚕 syntaxi

Make your tokenizer more syntax-friendly.

Syntaxi will encode capital words using a special shift-token, allowing words to be effectively capital-invariant. "Dog" and "dog" are the same word. Without Syntaxi, your language model needs to learn these words as if they were not the same.

Let your language model learn to think in terms of shift tokens, rather than learning words twice.

Getting started

Requirements

Python 3.11+, it's 2024.

Syntaxi only depends on regex for Unicode property escapes, and uses HuggingFace's tokenizers for convenience.

Installation

pip install syntaxi

Example

Load an existing, pre-trained HuggingFace tokenizer to be patched by Syntaxi.

Create directly using Tokenizer.from_pretrained

import syntaxi

tokenizer = syntaxi.huggingface_tokenizer("nilq/baby-tokenizer")
encoded = tokenizer.encode("My dog is a Dog, and my Dog is a dog.")

encoded.tokens
# ['[SHIFT]', '▁my', '▁dog', '▁is', '▁a', '▁', '[SHIFT]', '▁dog,', '▁and', '▁my', '▁', '[SHIFT]', '▁dog', '▁is', '▁a', '▁dog.']

tokenizer.decode(encoded.ids)
# "My dog is a Dog, and my Dog is a dog."

Manually patch tokenizer

import syntaxi
from tokenizers import Tokenizer

tokenizer: Tokenizer = ...

# Original `tokenizer` stays the same.
syntaxi_tokenizer = syntaxi.patched_tokenizer(tokenizer)