Russian BPE Tokenizer 16000

🗃️ Корпус

50k+ слов с ria.ru, lenta.ru и др. (2020–2025)

⚙️ Параметры

  • Алгоритм: BPE
  • Размер словаря: 16,000
  • Min frequency: 2

📊 Метрики

  • OOV rate: 1.2%
  • Reconstruction accuracy: 99.8%
  • Compression ratio: 1.35

💻 Пример использования

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("SherifAnar/russian-bpe-16k")

text = "Привет, как дела?"
tokens = tokenizer.tokenize(text)
print(tokens)  # ['ри', 'вет', ',', 'как', 'дела', '?']
📜 Лицензия
MIT
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