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---
language: de
widget:
- text: >-
Diese Themen gehören nicht ins [MASK].
---
### Welcome to ParlBERT-German!
🏷 **Model description**:
**ParlBERT-German** is a domain-specific language model. The model was created through a process of continuous pre-training, which involved using a generic German language model (GermanBERT) as the foundation and further enhancing it with domain-specific knowledge. We used [DeuParl](https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2889?show=full) as the domain-specific dataset for continuous pre-training, which provided **ParlBERT-German** with an better understanding of the language and context used in parliamentary debates. The result is a specialized language model that can be used in related scenarios.
🤖 **Model training**
During the model training process, a masked language modeling approach was used with a token masking probability of 15\%. The training was performed for a single epoch, which means that the entire dataset was passed through the model once during the training process.
👨💻 **Model Use**
```python
from transformers import pipeline
model = pipeline('fill-mask', model='parlbert-german')
model("Diese Themen gehören nicht ins [MASK].")
```
⚠️ **Limitations**
Models are often highly domain dependent. Therefore, the model may perform less well on different domains and text types not included in the training set.
🐦 Twitter: [@chklamm](http://twitter.com/chklamm) |