flexitok/bpe_script_Germ_16000

Byte-Level BPE Tokenizer: ['dan_Latn', 'deu_Latn', 'nld_Latn', 'swe_Latn'] (16K)

A Byte-Level BPE tokenizer trained on ['dan_Latn', 'deu_Latn', 'nld_Latn', 'swe_Latn'] data from Fineweb-2-HQ.

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	['dan_Latn', 'deu_Latn', 'nld_Latn', 'swe_Latn']
Target Vocab Size	16,000
Final Vocab Size	16,953
Pre-tokenizer	custom:dan_Latn
Number handling	ltr_3digit
Contraction handling	True
Normalizer	NFC
Special Tokens	<s>, </s>, <pad>, <unk>
Training Shards	8

Usage

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_script_Germ_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, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ	42, 13486, 14, 275, 5150, 3, 223, 16446, 3832, 1249, 289, 516, 270, 5190, 16, 223, 3768, 244, 5986, 244