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bpe_ltr_por_Latn_4000_v2
flexitok/bpe_ltr_por_Latn_4000_v2
bpe_ltr_por_Latn_4000_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 porLatn data from Fineweb-2-HQ.
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Public
Updated Apr 15, 2026
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.json730 KB · 93%
At a glance
- License
- mit
- Access
- Public
- Created
- Apr 14, 2026
- Updated
- Apr 15, 2026
- SHA
- ea37353b
Model card
From the Hugging Face model README
Byte-Level BPE Tokenizer: por_Latn (4K)
A Byte-Level BPE tokenizer trained on por_Latn data from Fineweb-2-HQ.
Training Details
| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | por_Latn |
| Target Vocab Size | 4,000 |
| Final Vocab Size | 5,056 |
| Pre-tokenizer | custom:por_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_por_Latn_4000_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, or, l, d, !, Ġ, 123, 45, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ã | 42, 309, 498, 14, 943, 281, 78, 70, 3, 223, 4994, 4744, 2626, 276, 607, 261, 1754, 16, 223, 162 |
- License
- mit
- Languages
- por
- Created
- Apr 14, 2026
- Updated
- Apr 15, 2026