| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | ell_Grek |
| Target Vocab Size | 4,000 |
| Final Vocab Size | 4,000 |
| Pre-tokenizer | custom:ell_Grek |
| Number handling | individual |
| Contraction handling | True |
| Normalizer | NFC |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 2 |
1from transformers import AutoTokenizer
2
3tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_ell_Grek_4000_v2")
4tokens = tokenizer.encode("Hello, world!")tokenizer.json — Full HuggingFace tokenizervocab.json — Vocabulary mappingmerges.txt — BPE merge rules| 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, 12, 3, 4, 5, Ġ, Th, is, Ġ, is | 43, 2531, 82, 15, 177, 90, 647, 79, 71, 4, 177, 1461, 22, 23, 24, 177, 3786, 885, 177, 885 |