flexitok/bpe_script_SEAS_16000

Byte-Level BPE Tokenizer: ind_Latn (16K)

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

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	ind_Latn
Target Vocab Size	16,000
Final Vocab Size	16,961
Pre-tokenizer	custom:ind_Latn
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_script_SEAS_16000")
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, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ, ãģ	42, 15107, 14, 429, 4639, 3, 223, 16038, 4529, 13915, 1153, 395, 7029, 16, 223, 9732, 244, 15716, 244, 9732