| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | ces_Latn |
| Target Vocab Size | 8,000 |
| Final Vocab Size | 8,000 |
| Pre-tokenizer | custom:ces_Latn |
| 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_ces_Latn_8000_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, lo, ,, Ġw, orld, !, Ġ, 1, 2, 3, 4, 5, ĠT, his, Ġis, Ġa, Ġtest, ., Ġ | 43, 582, 261, 15, 925, 7483, 4, 176, 20, 21, 22, 23, 24, 342, 6338, 2704, 224, 2373, 17, 176 |