flexitok/bpe_ell_Grek_16000

Byte-Level BPE Tokenizer: ell_Grek (16K)

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

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	ell_Grek
Target Vocab Size	16,000
Final Vocab Size	16,000
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_ell_Grek_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, ell, o, ,, Ġw, orld, !, Ġ, 12, 3, 45, ĠTh, is, Ġis, Ġa, Ġt, est, ., Ġ, ã	43, 2571, 82, 15, 1793, 8741, 4, 177, 1549, 22, 4817, 4839, 901, 6156, 2841, 837, 2562, 17, 177, 161