---
license: mit
language:
- cmn #
- jpn #['cmn_Hani', 'jpn_Jpan']  # ISO 639-3 code or "und" if not identifiable
tags:
- tokenizer
- bpe
- flexitok
- fineweb2
---

# Byte-Level BPE Tokenizer: ['cmn_Hani', 'jpn_Jpan'] (16K)

A **Byte-Level BPE** tokenizer trained on **['cmn_Hani', 'jpn_Jpan']** data from Fineweb-2-HQ.

## Training Details

| Parameter | Value |
|-----------|-------|
| Algorithm | Byte-Level BPE |
| Language | `['cmn_Hani', 'jpn_Jpan']` |
| Target Vocab Size | 16,000 |
| Final Vocab Size | 17,900 |
| Pre-tokenizer | custom:jpn_Jpan |
| Number handling | ltr_3digit |
| Contraction handling | True |
| Normalizer | NFC |
| Special Tokens | `<s>`, `</s>`, `<pad>`, `<unk>` |
| Training Shards | 4 |

## Usage

```python
from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_script_CmJp_16000")
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 |
|------|--------|-----------|
| `Hello, world! 12345 This is a test. こんにちは` | `H, ell, o, ,, Ġw, orld, !, Ġ, 123, 45, ĠTh, is, Ġis, Ġa, Ġt, est, ., Ġ, ãģ, ĵ` | `42, 3452, 81, 14, 2927, 10693, 3, 223, 12071, 3557, 9838, 1476, 6231, 3791, 4071, 3540, 16, 223, 3577, 244` |