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Grapheme Pair Encoding Tokenizer for Sinhala Language

This project has been archived.

The maintainers of this project have marked this project as archived. No new releases are expected.

Project description

Installation

pip install gpe-tokenizer

Basic Usage

from gpe_tokenizer import SinhalaGPETokenizer

Model Compatibility

For BERT

tokenizer = SinhalaGPETokenizer(model='bert')

For llama

tokenizer = SinhalaGPETokenizer(model='llama')

For GPT

tokenizer = SinhalaGPETokenizer(model='gpt')

Tokenize

tokenizer.tokenize(text)

Tokenizer Training Details

Corpus Size: 10 Million Sentences

Vocab Size: 32000

Training Time: 13H 29M

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