flexitok/bpe_ind_Latn_4000_v2

Byte-Level BPE Tokenizer: ind_Latn (4K)

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	4,000
Final Vocab Size	4,000
Pre-tokenizer	custom:ind_Latn
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_ind_Latn_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, el, lo, ,, Ġw, or, l, d, !, Ġ, 12, 3, 45, ĠTh, is, Ġis, Ġa, Ġt, est, .	43, 250, 1681, 15, 382, 254, 79, 71, 4, 177, 1384, 22, 2820, 2566, 244, 1105, 348, 224, 674, 17