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license: mit
language:
- arb
tags:
- tokenizer
- bpe
- flexitok
- fineweb2
---
# Byte-Level BPE Tokenizer: arb_Arab (8K)
A **Byte-Level BPE** tokenizer trained on **arb_Arab** data from Fineweb-2-HQ.
## Training Details
| Parameter | Value |
|-----------|-------|
| Algorithm | Byte-Level BPE |
| Language | `arb_Arab` |
| Target Vocab Size | 8,000 |
| Final Vocab Size | 8,000 |
| 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/-bpe_arb_Arab_8000")
tokens = tokenizer.encode("Hello, world!")
```
## Files
- `tokenizer.json` — Full HuggingFace tokenizer
- `vocab.json` — Vocabulary mapping
- `merges.txt` — BPE merge rules
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