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bpe_pol_Latn_8000
flexitok/bpe_pol_Latn_8000
bpe_pol_Latn_8000 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 polLatn data from Fineweb-2-HQ.
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Public
Updated May 2, 2026
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.json1.6 MB · 92%
At a glance
- License
- mit
- Access
- Public
- Created
- Feb 23, 2026
- Updated
- May 2, 2026
- SHA
- fd18f059
Model card
From the Hugging Face model README
Byte-Level BPE Tokenizer: pol_Latn (8K)
A Byte-Level BPE tokenizer trained on pol_Latn data from Fineweb-2-HQ.
Training Details
| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | pol_Latn |
| Target Vocab Size | 8,000 |
| Final Vocab Size | 8,000 |
| Pre-tokenizer | gpt4 |
| Number handling | individual |
| 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_pol_Latn_8000")
tokens = tokenizer.encode("Hello, world!")
Files
tokenizer.json— Full HuggingFace tokenizervocab.json— Vocabulary mappingmerges.txt— BPE merge rules
- License
- mit
- Languages
- pol
- Created
- Feb 23, 2026
- Updated
- May 2, 2026