Byte-Level BPE Tokenizer: tur_Latn (8K)

A Byte-Level BPE tokenizer trained on tur_Latn data from Fineweb-2-HQ.

Training Details

Parameter Value
Algorithm Byte-Level BPE
Language tur_Latn
Target Vocab Size 8,000
Final Vocab Size 8,000
Pre-tokenizer custom:tur_Latn
Number handling individual
Contraction handling True
Normalizer NFC
Special Tokens <s>, </s>, <pad>, <unk>
Training Shards 2

Usage

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_tur_Latn_8000_v2")
tokens = tokenizer.encode("Hello, world!")

Files

  • tokenizer.json — Full HuggingFace tokenizer
  • vocab.json — Vocabulary mapping
  • merges.txt — BPE merge rules

Sample Encoding

Text Tokens Token IDs
Hello, world! 12345 This is a test. こんにちは H, el, lo, ,, Ġw, orld, !, Ġ, 1, 2, 3, 4, 5, ĠT, his, Ġis, Ġa, Ġtest, ., Ġ 43, 239, 1212, 15, 1072, 7378, 4, 177, 20, 21, 22, 23, 24, 334, 3233, 1053, 255, 1610, 17, 177
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