🥢 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.
1 maintainer
Release files for curated-tokenizers 2.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| curated_tokenizers-2.0.1.tar.gz | 2.3 MB | Details |
Built distributions (wheels)
Total release size: 219.2 MB
Release files / curated_tokenizers-2.0.1.tar.gz
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