flexitok/bpe_nld_Latn_4000

Byte-Level BPE Tokenizer: nld_Latn (4K)

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	4,000
Final Vocab Size	4,000
Pre-tokenizer	gpt4
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_nld_Latn_4000")
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, ell, o, ,, Ġwor, ld, !, Ġ, 12, 3, 4, 5, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ã	43, 543, 82, 15, 318, 2579, 4, 177, 1308, 22, 23, 24, 2095, 239, 272, 238, 2136, 17, 177, 161