Transformers
PyTorch
English
roberta
classification
dialog state tracking
conversational system
task-oriented dialog
Eval Results (legacy)
Instructions to use ConvLab/setsumbt-dst-sgd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/setsumbt-dst-sgd with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaSetSUMBT tokenizer = AutoTokenizer.from_pretrained("ConvLab/setsumbt-dst-sgd") model = RobertaSetSUMBT.from_pretrained("ConvLab/setsumbt-dst-sgd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf628104b83a98d6c2c466471db9548aaf9a14c61c42ae99a051c4e911caef97
- Size of remote file:
- 1.42 GB
- SHA256:
- a0239dc415cc833474faca02c3ca9e1ffa73a62abb18940f3f3f3d96852088c9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.