| --- | |
| # dialogue-bart-large-chinese | |
| This is a seq2seq model fine-tuned on several Chinese dialogue datasets, from bart-large-chinese. | |
| # Datasets | |
| We utilize 4 Chinese dialogue datasets from [LUGE](https://www.luge.ai/#/) | |
| | | | | | |
| | ---- | ---- | ---- | | |
| | | Count | Domain | | |
| | Chinese Persona Chat (CPC) | 23,000 | Open | | |
| | LCCC | 11,987,759 | Open | | |
| | Emotional STC (ESTC) | 899,207 | Open | | |
| | KdConv | 3,000 | Movie, Music, Travel | | |
| | | | | | |
| # Example | |
| ```python | |
| #!/usr/bin/env python3 | |
| from transformers import BertTokenizer, BartForConditionalGeneration | |
| tokenizer = BertTokenizer.from_pretrained("HIT-TMG/dialogue-bart-large-chinese") | |
| model = BartForConditionalGeneration.from_pretrained("HIT-TMG/dialogue-bart-large-chinese") | |
| ``` |