| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | vie_Latn |
| Target Vocab Size | 4,000 |
| Final Vocab Size | 5,034 |
| Pre-tokenizer | custom:vie_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_vie_Latn_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, el, lo, ,, Ġw, orld, !, Ġ, 123, 45, ĠTh, is, Ġis, Ġa, Ġt, est, ., Ġ, ã, ģ | 42, 725, 1588, 14, 1262, 2592, 3, 223, 4638, 2735, 415, 783, 3017, 1671, 262, 1833, 16, 223, 162, 226 |