---
license: mit
language:
- und  # ISO 639-3 code or "und" if not identifiable
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

```python
from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/mod-tokenizers-bpe_numeric_268")
tokens = tokenizer.encode("Hello, world!")
```

## Files

- `tokenizer.json` — Full HuggingFace tokenizer
- `vocab.json` — Vocabulary mapping
- `merges.txt` — BPE merge rules