[GERMAN] Joint Intent and Slot Classification
Hello,

I have tried out the [Joint Intent and Slot Classification Notebook](https://github.com/NVIDIA/NeMo/blob/stable/tutorials/nlp/Joint_Intent_and_Slot_Classification.ipynb) in Google Collab and it works great.

In the notebook it is mentioned that "[their] Joint Intent and Slot classification model is comprised of the pretrained [BERT](https://arxiv.org/pdf/1810.04805.pdf) model with an Intent and Slot Classification layer on top of it."

I assume this model is inherited from [BERTModule](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/modules/common/bert_module.py).

Is there a way to use a German-based BERT and put the "Intent and Slot Classification layer on top of it."? For instance to plug-in some German [SentenceTransformer](https://huggingface.co/sentence-transformers) model?

Any help in the right direction is much appreciated, thanks!