Lightweight piece tokenization library

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Development Status
- 5 - Production/Stable
Environment
- Console
Intended Audience
- Developers
- Science/Research
License
- OSI Approved :: MIT License
Operating System
- MacOS :: MacOS X
Programming Language
Topic
- Scientific/Engineering

Project description

🍴 cutlery

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

Cutlery is availble through PyPI:

pip install cutlery

🚀 Quickstart

The best way to get started with cutlery is through the curated-transformers library. curated-transformers also provides functionality to load tokenization models from Huggingface Hub.

Project details

These details have not been verified by PyPI

Project links

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GitHub Statistics

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Development Status
- 5 - Production/Stable
Environment
- Console
Intended Audience
- Developers
- Science/Research
License
- OSI Approved :: MIT License
Operating System
- MacOS :: MacOS X
Programming Language
Topic
- Scientific/Engineering

Release history Release notifications | RSS feed

This version

0.0.6

May 22, 2023

0.0.5

May 19, 2023

0.0.4

May 14, 2023

0.0.3

Oct 18, 2022

0.0.2

Oct 18, 2022

0.0.1

Sep 8, 2022

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Hashes for cutlery-0.0.6-cp310-cp310-win_amd64.whl
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Hashes for cutlery-0.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Hashes for cutlery-0.0.6-cp39-cp39-win_amd64.whl
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Hashes for cutlery-0.0.6-cp38-cp38-win_amd64.whl
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Hashes for cutlery-0.0.6-cp38-cp38-macosx_10_9_x86_64.whl
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Algorithm	Hash digest
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Hashes for cutlery-0.0.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Algorithm	Hash digest
SHA256	`934ccabb8fb4db03c7b564c9c9a9bbff3fa29b3e41a2952205512ef547bc352c`
MD5	`75bf0b2f7b53a5d76741c1b9f3400808`
BLAKE2b-256	`c909ba79534f3c48b2bd593239286f7d43ffd1aeb45571c136312591b3199e32`