This Python library provides word-/sentencepiece tokenizers. The following types of tokenizers are currenty supported:
| Tokenizer | Binding | Example model |
|---|---|---|
| BPE | sentencepiece | |
| Byte BPE | Native | RoBERTa/GPT-2 |
| Unigram | sentencepiece | XLM-RoBERTa |
| Wordpiece | Native | BERT |
This package is experimental and it is likely that the APIs will change in incompatible ways.
Curated tokenizers is availble through PyPI:
pip install curated_tokenizers
The best way to get started with curated tokenizers is through the
curated-transformers
library. curated-transformers also provides functionality to load tokenization
models from Huggingface Hub.
FAQs
Lightweight piece tokenization library
We found that curated-tokenizers demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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