metadata
license: mit
language:
- und
tags:
- tokenizer
- bpe
- flexitok
- fineweb2
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 | 268 |
| Final Vocab Size | 27 |
| Pre-tokenizer | byte_level |
| Number handling | rtl_1digit |
| Contraction handling | False |
| Normalizer | NONE |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 1 |
Usage
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("flexitok/mod-tokenizers-bpe_numeric_268")
tokens = tokenizer.encode("Hello, world!")
Files
tokenizer.json— Full HuggingFace tokenizervocab.json— Vocabulary mappingmerges.txt— BPE merge rules