Downloads · 30 days
0
bpe_ltr_ces_Latn_8000_v2
flexitok/bpe_ltr_ces_Latn_8000_v2
bpe_ltr_ces_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 cesLatn data from Fineweb-2-HQ.
Access
Public
Updated Apr 16, 2026
Repo size
—
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json1.4 MB · 92%
At a glance
- License
- mit
- Access
- Public
- Created
- Apr 14, 2026
- Updated
- Apr 16, 2026
- SHA
- 82bb37d1
Model card
From the Hugging Face model README
Byte-Level BPE Tokenizer: ces_Latn (8K)
A Byte-Level BPE tokenizer trained on ces_Latn data from Fineweb-2-HQ.
Training Details
| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | ces_Latn |
| Target Vocab Size | 8,000 |
| Final Vocab Size | 9,026 |
| Pre-tokenizer | custom:ces_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_ces_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, ã, ģ, ĵ | 42, 632, 309, 14, 979, 7600, 3, 223, 8754, 4157, 390, 6444, 2780, 272, 2445, 16, 223, 162, 226, 244 |
- License
- mit
- Languages
- ces
- Created
- Apr 14, 2026
- Updated
- Apr 16, 2026