flexitok/bpe_ell_Grek_16000_v2

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	custom:ell_Grek
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_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, ,, Ġ, w, orld, !, Ġ, 1, 2, 3, 4, 5, Ġ, Th, is, Ġ, is, Ġ	43, 2507, 82, 15, 177, 90, 8605, 4, 177, 20, 21, 22, 23, 24, 177, 3748, 882, 177, 882, 177