Instructions to use HIT-TMG/dialogue-bart-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HIT-TMG/dialogue-bart-base-chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HIT-TMG/dialogue-bart-base-chinese") model = AutoModelForSeq2SeqLM.from_pretrained("HIT-TMG/dialogue-bart-base-chinese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aecc28564ce229589de05f36abb0ef2614790e3a6c53917f13c139d32b2ef912
- Size of remote file:
- 465 MB
- SHA256:
- b75c8c6ac019c5c28f2afc14e31cd0180f4ff0a93e6d80786c830b795140798d
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