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
Upload special_tokens_map.json
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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