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
Commit ·
bbbaae7
1
Parent(s): 3410ddb
Upload RobertaSetSUMBT
Browse files- config.json +1 -1
- pytorch_model.bin +3 -0
config.json
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"_name_or_path": "SetSUMBT-multiwoz21-roberta-gru-cosine-labelsmoothing-Seed0
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"adapters": {
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"adapters": {},
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"config_map": {},
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"_name_or_path": "SetSUMBT-multiwoz21-roberta-gru-cosine-labelsmoothing-Seed0",
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"adapters": {
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"config_map": {},
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5691828619c4e3b5592038e4e95b528a1b8ff5b4fd69134f8bec14aae14e78d0
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size 623875385
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