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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Jiaan Wang commited on
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license: cc-by-nc-sa-4.0
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license: cc-by-nc-sa-4.0
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## mDialBART: A Cross-Lingual Dialogue Summarization Model
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This model is introduced by [*ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization*](https://arxiv.org/abs/2202.05599).
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