---
license: cc-by-nc-sa-4.0
language:
- de
tags:
- public participation
- text classification
- transport
---

## Model Description

**roberta-base-wechsel-german_cimt-transport** is a fine-tuned RoBERTa model that is built to predict modes of transport.

Specifically, this model is a *benjamin/roberta-base-wechsel-german* that was fine-tuned on two datasets of public participation for urban planning.

## Background
This work is based on research in the project CIMT, which investigates the chances and challenges of involving citizens in political decisions in the context of sustainable mobility transitions. (for more information, visit https://www.cimt-hhu.de/en/)

## Details & Evaluation Results 
tba

## Usage
```python
from transformers import AutoModelForSequenceClassification, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("juliaromberg/roberta-base-wechsel-german_cimt-transport")
model = AutoModelForSequenceClassification.from_pretrained("juliaromberg/roberta-base-wechsel-german_cimt-transport")
```

## Citation
tba