Instructions to use Krystalan/mdialbart_zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Krystalan/mdialbart_zh with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Krystalan/mdialbart_zh") model = AutoModelForSeq2SeqLM.from_pretrained("Krystalan/mdialbart_zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Krystalan/mdialbart_zh: direct link, hf CLI and curl.
- Browser
- Download file 232 Bytes
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https://huggingface.co/Krystalan/mdialbart_zh/resolve/main/README.md
- Command line
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hf download hf://Krystalan/mdialbart_zh/README.md
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curl -L -o README.md https://huggingface.co/Krystalan/mdialbart_zh/resolve/main/README.md
232 Bytes
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.