Transformers
PyTorch
English
t5
text2text-generation
t5-small
dialog state tracking
conversational system
task-oriented dialog
Eval Results (legacy)
text-generation-inference
Instructions to use ConvLab/t5-small-dst-sgd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/t5-small-dst-sgd with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-dst-sgd") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-dst-sgd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63982f43bdd6e94468881d6333811b3730d07a5c7079b1588f5106fb61c30792
- Size of remote file:
- 242 MB
- SHA256:
- 6d606ee3455cb441d8699b16c017442d1d42849d8414f5e42fa6d2b30232b8e3
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