flexitok/mod-tokenizers
Collection
11 items • Updated
Byte-Level BPE Tokenizer: numeric (0K)
A Byte-Level BPE tokenizer trained on numeric data from Fineweb-2-HQ.
Training Details
| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | numeric |
| Target Vocab Size | 17 |
| Final Vocab Size | 17 |
| Pre-tokenizer | byte_level |
| Number handling | individual |
| Contraction handling | False |
| Normalizer | NONE |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 1 |
Usage
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("None")
tokens = tokenizer.encode("Hello, world!")
Files
tokenizer.json— Full HuggingFace tokenizervocab.json— Vocabulary mappingmerges.txt— BPE merge rules
Sample Encoding
| Text | Tokens | Token IDs |
|---|---|---|
1234500119 mod 67 |
1, 2, 3, 4, 5, 0, 0, 1, 1, 9, , mod, , 6, 7 |
8, 9, 10, 11, 12, 7, 7, 8, 8, 16, 6, 4, 6, 13, 14 |
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