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+ # Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
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+
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+ Copyright 2026 Mediar, Inc.
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+
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+ This repository distributes a derivative work — fine-tuned weights and
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+ training-pipeline artifacts — built on top of the OpenAI Privacy Filter,
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+ which is itself licensed under the Apache License, Version 2.0. See
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+ [`NOTICE`](NOTICE) for the dual-license arrangement and the upstream
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+ attribution, and [`LICENSE.upstream-apache2.txt`](LICENSE.upstream-apache2.txt)
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+ for the full Apache 2.0 text.
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+
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+ The Derivative Work in this repository — the fine-tuned weights, the
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+ README, the example code, and the model card — is licensed under the
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+ Creative Commons Attribution-NonCommercial 4.0 International License
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+ (CC BY-NC 4.0).
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+
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+ The Apache 2.0 obligations on the underlying base weights are preserved.
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+ You comply with both licenses if you (a) keep the upstream attribution
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+ and Apache 2.0 license text intact when redistributing this Derivative
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+ Work, and (b) honor CC BY-NC 4.0 on this Derivative Work itself
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+ (non-commercial use only, with attribution).
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+
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+ You are free to:
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+
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+ * **Share** — copy and redistribute the material in any medium or format
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+ * **Adapt** — remix, transform, and build upon the material
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+
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+ Under the following terms:
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+
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+ * **Attribution** — You must give appropriate credit, provide a link
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+ to the license, and indicate if changes were made. You may do so in
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+ any reasonable manner, but not in any way that suggests the licensor
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+ endorses you or your use.
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+ * **NonCommercial** — You may not use the material for commercial
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+ purposes.
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+ * **No additional restrictions** — You may not apply legal terms or
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+ technological measures that legally restrict others from doing
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+ anything the license permits.
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+
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+ Full license text: https://creativecommons.org/licenses/by-nc/4.0/legalcode
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+
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+ ## What "non-commercial" means here
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+
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+ You MAY use this model for:
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+ - Personal use
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+ - Academic research and publication
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+ - Teaching
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+ - Internal evaluation at any organization (running it, comparing it
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+ to alternatives, integrating it into a research prototype)
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+ - Open-source projects that are themselves non-commercial
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+
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+ You may NOT use this model for:
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+ - Production redaction in a commercial product or paid service
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+ - Embedding in software you sell or charge for
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+ - Powering a SaaS / API offering
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+ - Any use where the model output contributes to revenue
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+
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+ ## Commercial licensing
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+
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+ If you want to use this model commercially, contact:
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+
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+ louis@screenpi.pe
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+
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+ Commercial licenses are available and reasonably priced. Including:
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+ production deployment, redistribution rights, support, SLA-backed
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+ inference, and custom fine-tunes for your domain.
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+
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+ ## Citation
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+
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+ If you use this model in research, please cite:
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+
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+ @misc{screenpipe-pii-redactor-2026,
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+ title = {screenpipe-pii-redactor: a PII redactor for accessibility
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+ trees, OCR'd screen text, and computer-use traces},
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+ author = {{screenpipe}},
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+ year = {2026},
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+ url = {https://huggingface.co/screenpipe/pii-redactor}
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+ }
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+
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+ ## Disclaimer
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+
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+ This model is provided "as is" without warranty of any kind, express or
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+ implied, including but not limited to the warranties of merchantability,
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+ fitness for a particular purpose and noninfringement. In no event shall
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+ the authors or copyright holders be liable for any claim, damages or
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+ other liability, whether in an action of contract, tort or otherwise,
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+ arising from, out of or in connection with the model or the use or
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+ other dealings in the model.
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+
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+ PII redaction is a hard problem with documented failure modes (see
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+ `README.md` "Limitations" section). Do NOT rely on this model alone
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+ for compliance with privacy regulations (GDPR, HIPAA, CCPA, etc.).
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+ Validate on your own data before deploying.