flexitok/bpe_ell_Grek_4000

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	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_ell_Grek_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, l, d, !, Ġ, 12, 3, 4, 5, ĠT, h, is, Ġ, is, Ġa	43, 2571, 82, 15, 1793, 650, 79, 71, 4, 177, 1549, 22, 23, 24, 753, 75, 901, 177, 901, 2841