ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization
Paper • 2202.05599 • Published
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")This model is introduced by ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization.
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Krystalan/mdialbart_de") model = AutoModelForSeq2SeqLM.from_pretrained("Krystalan/mdialbart_de")