Transformers
PyTorch
English
t5
text2text-generation
t5-small
dialogue generation
conversational system
task-oriented dialog
Eval Results (legacy)
text-generation-inference
Instructions to use ConvLab/t5-small-goal2dialogue-multiwoz21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/t5-small-goal2dialogue-multiwoz21 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-goal2dialogue-multiwoz21") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-goal2dialogue-multiwoz21") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9d317922340d736db4a3a4a5aa4cc07409ed64b4970b31fb89f636afb410e14
- Size of remote file:
- 242 MB
- SHA256:
- a69dfa0947d4301e9a4478a31c210aff3104c35d075673c1dfeecbc2b822b46a
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