flexitok-mod-tokenizers-zero-padded
Collection
10 items • Updated
A Byte-Level BPE tokenizer trained on numeric data from Fineweb-2-HQ.
| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | numeric |
| Target Vocab Size | 116 |
| Final Vocab Size | 107 |
| Pre-tokenizer | byte_level |
| Number handling | rtl_2digit |
| Contraction handling | False |
| Normalizer | NONE |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 1 |
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("None")
tokens = tokenizer.encode("Hello, world!")
tokenizer.json — Full HuggingFace tokenizervocab.json — Vocabulary mappingmerges.txt — BPE merge rules| Text | Tokens | Token IDs |
|---|---|---|
103500109 mod 67 |
1, 0, 3, 50, 0, 1, 0, 9, , mod, , 67 |
8, 7, 10, 57, 7, 8, 7, 16, 6, 4, 6, 74 |