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license: mit
language:
  - swe
tags:
  - tokenizer
  - bpe
  - flexitok
  - fineweb2

Byte-Level BPE Tokenizer: swe_Latn (16K)

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	16,000
Final Vocab Size	16,965
Pre-tokenizer	custom:swe_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_swe_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, ell, o, ,, Ġw, orld, !, Ġ, 123, 45, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ã`	`42, 468, 81, 14, 744, 4856, 3, 223, 16116, 4268, 1345, 359, 1677, 271, 2233, 16, 223, 10365, 244, 162`