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bpe_script_Roma_32000
flexitok/bpe_script_Roma_32000
bpe_script_Roma_32000 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 ['fraLatn', 'itaLatn', 'porLatn', 'spaLatn'] data from Fineweb-2-HQ.
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Public
Updated Apr 18, 2026
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.json4.6 MB · 90%
At a glance
- License
- mit
- Access
- Public
- Created
- Apr 17, 2026
- Updated
- Apr 18, 2026
- SHA
- 504fd4c4
Model card
From the Hugging Face model README
Byte-Level BPE Tokenizer: ['fra_Latn', 'ita_Latn', 'por_Latn', 'spa_Latn'] (32K)
A Byte-Level BPE tokenizer trained on ['fra_Latn', 'ita_Latn', 'por_Latn', 'spa_Latn'] data from Fineweb-2-HQ.
Training Details
| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | ['fra_Latn', 'ita_Latn', 'por_Latn', 'spa_Latn'] |
| Target Vocab Size | 32,000 |
| Final Vocab Size | 32,871 |
| Pre-tokenizer | custom:fra_Latn |
| Number handling | ltr_3digit |
| Contraction handling | True |
| Normalizer | NFC |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 8 |
Usage
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_script_Roma_32000")
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, ello, ,, Ġworld, !, Ġ, 123, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ, ãģ, « | 42, 2110, 14, 25291, 3, 223, 22415, 4328, 17636, 1008, 267, 3037, 16, 223, 8090, 244, 14187, 244, 8090, 107 |
- License
- mit
- Languages
- fra, ita, por, spa
- Created
- Apr 17, 2026
- Updated
- Apr 18, 2026