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flexitok/
bpe_ltr_tur_Latn_16000_v2

Name: bpe_ltr_tur_Latn_16000_v2
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Byte-Level BPE Tokenizer: tur_Latn (16K)

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	16,000
Final Vocab Size	16,953
Pre-tokenizer	custom:tur_Latn
Number handling	ltr_3digit
Contraction handling	True
Normalizer	NFC
Special Tokens	`<s>`, `</s>`, `<pad>`, `<unk>`
Training Shards	2

Usage

python

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_ltr_tur_Latn_16000_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, 123, 45, ĠT, his, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ`	`42, 286, 1272, 14, 1129, 7565, 3, 223, 16643, 3899, 381, 3336, 1109, 302, 1681, 16, 223, 5495, 244, 9807`