Transformers
PyTorch
English
roberta
classification
dialog state tracking
conversational system
task-oriented dialog
Eval Results (legacy)
Instructions to use ConvLab/sumbt-dst-multiwoz21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/sumbt-dst-multiwoz21 with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaSetSUMBT tokenizer = AutoTokenizer.from_pretrained("ConvLab/sumbt-dst-multiwoz21") model = RobertaSetSUMBT.from_pretrained("ConvLab/sumbt-dst-multiwoz21") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6df4060d1d61afddd687e62a46be132b6732abd54cc5a5ceca040aec8fe8ffeb
- Size of remote file:
- 522 MB
- SHA256:
- 104b96d35c75668c2ffed3d97250909b328f40520010c6c648278f527c261cd6
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