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flexitok/
bpe_ltr_nld_Latn_32000_v2

Name: bpe_ltr_nld_Latn_32000_v2
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Byte-Level BPE Tokenizer: nld_Latn (32K)

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	32,000
Final Vocab Size	32,859
Pre-tokenizer	custom:nld_Latn
Number handling	ltr_3digit
Contraction handling	True
Normalizer	NFC
Special Tokens	`<s>`, `</s>`, `<pad>`, `<unk>`
Training Shards	2

Usage

python

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_ltr_nld_Latn_32000_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, ,, Ġworld, !, Ġ, 123, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ, ãģ, «`	`42, 9612, 14, 16366, 3, 223, 20258, 4033, 15690, 318, 285, 2169, 16, 223, 14213, 244, 25235, 244, 14213, 107`