| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | numeric |
| Target Vocab Size | 1,007 |
| Final Vocab Size | 1,007 |
| Pre-tokenizer | byte_level |
| Number handling | rtl_3digit |
| Contraction handling | False |
| Normalizer | NONE |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 1 |
1from transformers import AutoTokenizer
2
3tokenizer = AutoTokenizer.from_pretrained("None")
4tokens = tokenizer.encode("Hello, world!")tokenizer.json — Full HuggingFace tokenizervocab.json — Vocabulary mappingmerges.txt — BPE merge rules| Text | Tokens | Token IDs |
|---|---|---|
123500119 mod 67 | 123, 500, 119, , mod, , 67 | 477, 764, 95, 6, 4, 6, 53 |