Instructions to use HIT-TMG/dialogue-bart-large-chinese-DuSinc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HIT-TMG/dialogue-bart-large-chinese-DuSinc with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HIT-TMG/dialogue-bart-large-chinese-DuSinc") model = AutoModelForSeq2SeqLM.from_pretrained("HIT-TMG/dialogue-bart-large-chinese-DuSinc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
dialogue-bart-large-chinese
This is a fine-tuned version of HIT-TMG/dialogue-bart-large-chinese on the DuSinc dataset.
Spaces
Now you can experience our model on HuggingFace Spaces HIT-TMG/dialogue-bart-large-chinese .
Evaluation
You can view our model performance on the leaderboard of 2022 Language and Intelligence Challenge .
Technical Report
Coming soon
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