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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 | 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
```python
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("None")
tokens = tokenizer.encode("Hello, world!")
```
## Files
- `tokenizer.json` — Full HuggingFace tokenizer
- `vocab.json` — Vocabulary mapping
- `merges.txt` — BPE merge rules
## Sample Encoding
| Text | Tokens | Token IDs |
|------|--------|-----------|
| `123500119 mod 67` | `1, 2, 3, 5, 0, 0, 1, 1, 9, , mod, , 6, 7` | `8, 9, 10, 12, 7, 7, 8, 8, 16, 6, 4, 6, 13, 14` |
|