Instructions to use Krystalan/mdialbart_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Krystalan/mdialbart_de with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Krystalan/mdialbart_de") model = AutoModelForSeq2SeqLM.from_pretrained("Krystalan/mdialbart_de") - Notebooks
- Google Colab
- Kaggle
metadata
license: cc-by-nc-sa-4.0
mDialBART: A Cross-Lingual Dialogue Summarization Model
This model is introduced by ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization.