flexitok/bpe_ltr_nld_Latn_16000_v2

Byte-Level BPE Tokenizer: nld_Latn (16K)

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

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	nld_Latn
Target Vocab Size	16,000
Final Vocab Size	16,953
Pre-tokenizer	custom:nld_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_ltr_nld_Latn_16000_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, ,, Ġwor, ld, !, Ġ, 123, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ã, Ĥ, ĵ	42, 9612, 14, 364, 2610, 3, 223, 16294, 4033, 15690, 318, 285, 2169, 16, 223, 14213, 244, 162, 227, 244