---
license: mit
language:
- tur  # ISO 639-3 code or "und" if not identifiable
tags:
- tokenizer
- bpe
- flexitok
- fineweb2
---

# Byte-Level BPE Tokenizer: tur_Latn (16K)

A **Byte-Level BPE** tokenizer trained on **tur_Latn** data from Fineweb-2-HQ.

## Training Details

| Parameter | Value |
|-----------|-------|
| Algorithm | Byte-Level BPE |
| Language | `tur_Latn` |
| Target Vocab Size | 16,000 |
| Final Vocab Size | 16,000 |
| Pre-tokenizer | gpt4 |
| Number handling | individual |
| Contraction handling | True |
| Normalizer | NFC |
| Special Tokens | `<s>`, `</s>`, `<pad>`, `<unk>` |
| Training Shards | 2 |

## Usage

```python
from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/feat2-bpe_tur_Latn_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, el, lo, ,, Ġw, orld, !, Ġ, 12, 3, 45, ĠT, his, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ` | `43, 239, 1228, 15, 1085, 7548, 4, 177, 1270, 22, 3874, 335, 3309, 1065, 255, 1641, 17, 177, 5477, 197` |