Diversiformer 🤗 🏳️‍🌈 🇩🇪

Work in progress.

Language model for inclusive language in German, fine-tuned on mT5.

An experimental model version is released on Huggingface.

Source code for fine-tuning is available on GitHub.

Tasks

  • DETECT: Recognizes instances of the generic masculine, and of other exclusive language. To do.

  • SUGGEST: Suggest inclusive alternatives to masculine and exclusive words. To do.

  • REPLACE: Replace one phrase by another, while preserving grammatical coherence. Work in progress.

    • ▶️ Ersetze "Schüler" durch "Schülerin oder Schüler": Die Schüler kamen zu spät.

      ◀️ Die Schülerinnen und Schüler kamen zu spät.

    • ▶️ Ersetze "Lehrer" durch "Kollegium": Die wartenden Lehrer wunderten sich.

      ◀️ Das wartende Kollegium wunderte sich.

Usage

>>> from transformers import pipeline
>>> generator = pipeline("text2text-generation", model="diversifix/diversiformer")
>>> generator('Ersetze "Schüler" durch "Schülerin oder Schüler": Die Schüler kamen zu spät.', max_length=500)

License

Diversiformer. Transformer model for inclusive language.

Copyright (C) 2022 Diversifix e. V.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

Downloads last month
6
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.