
# GePart: German Party Classification Model

**GePart** is a German party classification model, being capable of predicting the most likely party to a given text. This repository is part of a student project at the [Baden-Württemberg Cooperative State University](https://www.dhbw.de/startseite) during the 5th and 6th semester of our bachelor's degree in computer science.

For training the classification model, we used multiple sources (e.g., speeches, tweets, and party programs) with word embeddings like [FastText](https://fasttext.cc/) and transformer models like [BERT](https://arxiv.org/abs/1810.04805).

## Hosted Model

The hosted model is based on a German version of the DistilBERT Model.

## License

This project is licensed under [GNU GPL V3](https://github.com/felixhoffmnn/gepart/blob/main/LICENSE).
{"language": ["de"], "license": "gpl-3.0", "metrics": ["f1"], "pipeline_tag": "text-classification"}
transformers pytorch tensorboard distilbert text-classification de arxiv:1810.04805 license:gpl-3.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #de #arxiv-1810.04805 #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #region-us 


# GePart: German Party Classification Model

GePart is a German party classification model, being capable of predicting the most likely party to a given text. This repository is part of a student project at the Baden-Württemberg Cooperative State University during the 5th and 6th semester of our bachelor's degree in computer science.

For training the classification model, we used multiple sources (e.g., speeches, tweets, and party programs) with word embeddings like FastText and transformer models like BERT.

## Hosted Model

The hosted model is based on a German version of the DistilBERT Model.

## License

This project is licensed under GNU GPL V3.
# GePart: German Party Classification Model

GePart is a German party classification model, being capable of predicting the most likely party to a given text. This repository is part of a student project at the Baden-Württemberg Cooperative State University during the 5th and 6th semester of our bachelor's degree in computer science.

For training the classification model, we used multiple sources (e.g., speeches, tweets, and party programs) with word embeddings like FastText and transformer models like BERT. ## Hosted Model

The hosted model is based on a German version of the DistilBERT Model. ## License

This project is licensed under GNU GPL V3.
TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #de #arxiv-1810.04805 #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
 # GePart: German Party Classification Model

GePart is a German party classification model, being capable of predicting the most likely party to a given text. This repository is part of a student project at the Baden-Württemberg Cooperative State University during the 5th and 6th semester of our bachelor's degree in computer science.

For training the classification model, we used multiple sources (e.g., speeches, tweets, and party programs) with word embeddings like FastText and transformer models like BERT. ## Hosted Model

The hosted model is based on a German version of the DistilBERT Model. ## License

This project is licensed under GNU GPL V3.