Grapheme Pair Encoding Tokenizer for Sinhala Language
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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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