Text Classification
Laya
Safetensors
Polish
decision-model
systemone
jev
polish
legal
document-classification
calibrated
Eval Results (legacy)
Instructions to use trenify/jerzyk-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use trenify/jerzyk-1.0 with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 1,803 Bytes
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Copyright 2026 Fundacja Trenify
Licensed under the Apache License, Version 2.0 (see LICENSE).
This project builds on the following third-party work:
- Laya multilingual (convaiinnovations/laya-multilingual) and the `laya` Python package — base model and
fine-tuning tool for Jerzyk. Apache License 2.0. https://huggingface.co/convaiinnovations/laya
- mmBERT-base (jhu-clsp/mmBERT-base) — multilingual encoder inside Laya multilingual. MIT License.
- Bielik 11B v3.0 Instruct (speakleash/Bielik-11B-v3.0-Instruct), SpeakLeash & ACK Cyfronet AGH — wrote the
generated court / administrative / accounting test documents and filtered the training data. Apache License 2.0.
- Qwen3 8B (Qwen/Qwen3-8B), Alibaba Cloud — wrote the generated training documents. Apache License 2.0.
- llama.cpp — local inference of Bielik and Qwen during data preparation. MIT License.
Data sources:
- SAOS — System Analizy Orzeczeń Sądowych (https://www.saos.org.pl): real, already anonymised Polish court
rulings. Court rulings are official documents and are not subject to copyright (art. 4 of the Polish
Copyright Act).
- samorzad.gov.pl — public notices of Polish municipal, county and state offices. Official documents
(art. 4 of the Polish Copyright Act); personal data of natural persons was replaced with [OSOBA] / [ADRES]
before publication.
- The customer e-mails in the jerzyk-bench test and dev splits were written with Claude (Anthropic) for
evaluation only. They were not used to train Jerzyk; the dev split was used only to fit the three
calibration temperatures (one number per question type).
Jerzyk is an independent project and is not affiliated with TypeSafe, Convai Innovations, SpeakLeash, Alibaba,
Anthropic or SAOS.
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