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bpe_ltr_tur_Latn_8000_v2
flexitok/bpe_ltr_tur_Latn_8000_v2
bpe_ltr_tur_Latn_8000_v2 is a machine learning model from flexitok. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A Byte-Level BPE tokenizer trained on turLatn data from Fineweb-2-HQ.
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Public
Updated May 2, 2026
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.json2.4 MB · 95%
At a glance
- License
- mit
- Access
- Public
- Created
- Apr 14, 2026
- Updated
- May 2, 2026
- SHA
- 38c19d22
Model card
From the Hugging Face model README
Byte-Level BPE Tokenizer: tur_Latn (8K)
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 | 8,000 |
| Final Vocab Size | 9,016 |
| Pre-tokenizer | custom:tur_Latn |
| Number handling | ltr_3digit |
| Contraction handling | True |
| Normalizer | NFC |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 2 |
Usage
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_ltr_tur_Latn_8000_v2")
tokens = tokenizer.encode("Hello, world!")
Files
tokenizer.json— Full HuggingFace tokenizervocab.json— Vocabulary mappingmerges.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, 123, 45, ĠT, his, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ã | 42, 286, 1272, 14, 1129, 7565, 3, 223, 8949, 3899, 381, 3336, 1109, 302, 1681, 16, 223, 5495, 244, 162 |
- License
- mit
- Languages
- tur
- Created
- Apr 14, 2026
- Updated
- May 2, 2026