Transformers
PyTorch
English
roberta
classification
dialog state tracking
conversational system
task-oriented dialog
Eval Results (legacy)
Instructions to use ConvLab/setsumbt-dst-multiwoz21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/setsumbt-dst-multiwoz21 with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaSetSUMBT tokenizer = AutoTokenizer.from_pretrained("ConvLab/setsumbt-dst-multiwoz21") model = RobertaSetSUMBT.from_pretrained("ConvLab/setsumbt-dst-multiwoz21") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42eb2e24f7927c77fd4f0a507ee65d2078aa2ad5437c1d99416136d4510fe7ec
- Size of remote file:
- 624 MB
- SHA256:
- 5691828619c4e3b5592038e4e95b528a1b8ff5b4fd69134f8bec14aae14e78d0
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