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mod-tokenizers-bpe_numeric_268
flexitok/mod-tokenizers-bpe_numeric_268
mod-tokenizers-bpe_numeric_268 is a machine learning model from flexitok. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A Byte-Level BPE tokenizer trained on numeric data from Fineweb-2-HQ.
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Public
Updated Feb 25, 2026
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.json7.8 KB · 75%
At a glance
- License
- mit
- Access
- Public
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026
- SHA
- 3d669b54
Model card
From the Hugging Face model README
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
- License
- mit
- Languages
- und
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026