flexitok/bpe_ltr_cmn_Hani_4000_v2

Byte-Level BPE Tokenizer: cmn_Hani (4K)

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

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	cmn_Hani
Target Vocab Size	4,000
Final Vocab Size	6,407
Pre-tokenizer	custom:cmn_Hani
Number handling	ltr_3digit
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_ltr_cmn_Hani_4000_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, ell, o, ,, Ġw, or, l, d, !, Ġ, 123, 45, ĠT, h, is, Ġ, is, Ġa, Ġ, t	42, 3452, 81, 14, 2927, 964, 78, 70, 3, 223, 5559, 3557, 1910, 74, 1476, 223, 1476, 3791, 223, 86