Instructions to use desert-ant-labs/redact with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use desert-ant-labs/redact with LiteRT:
# 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
Third-party notices — redact
redact is built for commercial use. It derives from the components below, each
used under a license that permits commercial use and derivative works. Their
license terms apply to those components; the attributions here satisfy them.
Base encoder
Multilingual-MiniLM-L12-H384 — Microsoft
microsoft/Multilingual-MiniLM-L12-H384— MIT.- Used as the encoder: truncated to 6 layers, vocab trimmed to the EU scripts, fine-tuned for BIOES PII tagging.
Teacher models (used to create training data)
GLiNER-PII — NVIDIA
nvidia/gliner-PII— NVIDIA Open Model License (commercially usable; derivative works permitted; NVIDIA claims no ownership of outputs).- Used to label real web text for a distillation subset of the training data.
- NOTICE: Licensed by NVIDIA Corporation under the NVIDIA Open Model License.
DeepSeek-V3.2-Exp — DeepSeek
deepseek-ai/DeepSeek-V3.2-Exp— MIT.- Used to generate synthetic multilingual PII training text.
Training datasets
gretelai/gretel-pii-masking-en-v1— Apache-2.0.gretelai/synthetic_pii_finance_multilingual— Apache-2.0.ai4privacy/pii-masking-openpii-1.5m— CC-BY-4.0 (commercial use permitted). Copyright © Ai Suisse SA. Attribution: "Ai4Privacy / Ai Suisse SA".E3-JSI/synthetic-multi-pii-ner-v1— MIT.allenai/c4andHuggingFaceFW/fineweb-2— ODC-BY (used only as raw text for the GLiNER-labeled distillation subset; attribution per ODC-BY).- Additional synthetic rows were generated with Faker (MIT).
No non-commercial or unlicensed datasets are used. None of the above datasets are redistributed in this repository.