flexitok/bpe_tur_Latn_4000

Byte-Level BPE Tokenizer: tur_Latn (4K)

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	4,000
Final Vocab Size	4,000
Pre-tokenizer	gpt4
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_4000")
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, or, l, d, !, Ġ, 12, 3, 45, ĠT, his, Ġis, Ġa, Ġtest, ., Ġ	43, 239, 1228, 15, 1085, 251, 79, 71, 4, 177, 1270, 22, 3874, 335, 3309, 1065, 255, 1641, 17, 177