Lightweight piece tokenization library

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  • License: MIT License (MIT)
  • Author: Explosion
  • Requires: Python >=3.9
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🥢 Curated Tokenizers

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

⚠️ Warning: experimental package

This package is experimental and it is likely that the APIs will change in incompatible ways.

⏳ Install

Curated tokenizers is availble through PyPI:

pip install curated_tokenizers

🚀 Quickstart

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.

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  • License: MIT License (MIT)
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