| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | dan_Latn |
| Target Vocab Size | 1,000 |
| Final Vocab Size | 2,095 |
| Pre-tokenizer | custom:dan_Latn |
| Number handling | ltr_3digit |
| 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_ltr_dan_Latn_1000_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, el, l, o, ,, Ġw, or, l, d, !, Ġ, 123, 45, ĠT, h, is, Ġis, Ġa, Ġt, est | 42, 275, 78, 81, 14, 819, 267, 78, 70, 3, 223, 1893, 1085, 426, 74, 317, 998, 263, 302, 434 |