flexitok/bpe_swe_Latn_4000

Byte-Level BPE Tokenizer: swe_Latn (4K)

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

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	swe_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_swe_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, ,, Ġw, or, ld, !, Ġ, 12, 3, 4, 5, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ	43, 421, 82, 15, 698, 242, 627, 4, 176, 1502, 22, 23, 24, 1302, 312, 1639, 223, 2195, 17, 176