Transformers
PyTorch
English
roberta
classification
dialog state tracking
conversational system
task-oriented dialog
Eval Results (legacy)
Instructions to use ConvLab/setsumbt-dst-tm123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/setsumbt-dst-tm123 with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaSetSUMBT tokenizer = AutoTokenizer.from_pretrained("ConvLab/setsumbt-dst-tm123") model = RobertaSetSUMBT.from_pretrained("ConvLab/setsumbt-dst-tm123", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da2b94a15176d1cff99943984056410f7d8d3f88430f3e994e828ea4fc09e06b
- Size of remote file:
- 5.5 GB
- SHA256:
- 719e84ad9e6ce2709ac1c27e81b20e55e3a382ad897a90418a562b029f101ef0
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