Downloads · 30 days
0
bpe_script_CmJp_16000
flexitok/bpe_script_CmJp_16000
bpe_script_CmJp_16000 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 ['cmnHani', 'jpnJpan'] data from Fineweb-2-HQ.
Access
Public
Updated Apr 18, 2026
Repo size
—
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json4 MB · 93%
At a glance
- License
- mit
- Access
- Public
- Created
- Apr 16, 2026
- Updated
- Apr 18, 2026
- SHA
- 56ecd6e2
Model card
From the Hugging Face model README
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
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_script_CmJp_16000")
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, 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 |
- License
- mit
- Languages
- cmn, jpn
- Created
- Apr 16, 2026
- Updated
- Apr 18, 2026