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-multiwoz21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/t5-small-dst-multiwoz21 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-dst-multiwoz21") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-dst-multiwoz21") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd8d8f5def74b0c18066ee84f0207a835f85300402be24d566ca0fcd8d4a4dd4
- Size of remote file:
- 242 MB
- SHA256:
- 6e296719e4423d7981a319b323d94c857b22b7a70552664a2b44a55eed96a52b
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