flexitok/bpe_ltr_ell_Grek_4000_v2

Byte-Level BPE Tokenizer: ell_Grek (4K)

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	4,000
Final Vocab Size	5,064
Pre-tokenizer	custom:ell_Grek
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_ell_Grek_4000_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, or, l, d, !, Ġ, 123, 45, Ġ, Th, is, Ġ, is, Ġ, a	42, 2576, 81, 14, 223, 89, 693, 78, 70, 3, 223, 4033, 4616, 223, 3829, 933, 223, 933, 223, 67