flexitok/bpe_script_SEAS_16000

Byte-Level BPE Tokenizer: ['ind_Latn', 'vie_Latn'] (16K)

A Byte-Level BPE tokenizer trained on ['ind_Latn', 'vie_Latn'] data from Fineweb-2-HQ.

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	['ind_Latn', 'vie_Latn']
Target Vocab Size	16,000
Final Vocab Size	16,959
Pre-tokenizer	custom:ind_Latn
Number handling	ltr_3digit
Contraction handling	True
Normalizer	NFC
Special Tokens	<s>, </s>, <pad>, <unk>
Training Shards	4

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, el, lo, ,, Ġw, orld, !, Ġ, 123, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ã, Ĥ	42, 324, 2155, 14, 505, 4659, 3, 223, 16876, 4702, 15780, 1555, 1333, 8184, 16, 223, 11148, 244, 162, 227