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flexitok/
bpe_ltr_cmn_Hani_32000_v2

Name: bpe_ltr_cmn_Hani_32000_v2
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Byte-Level BPE Tokenizer: cmn_Hani (32K)

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	32,000
Final Vocab Size	34,107
Pre-tokenizer	custom:cmn_Hani
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_cmn_Hani_32000_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, ello, ,, Ġw, orld, !, Ġ, 123, 45, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ`	`42, 17591, 14, 2927, 10693, 3, 223, 12071, 3557, 9838, 1476, 6231, 3791, 31902, 16, 223, 3577, 244, 5098, 244`