Transformers
PyTorch
English
t5
text2text-generation
t5-small
natural language generation
conversational system
task-oriented dialog
Eval Results (legacy)
text-generation-inference
Instructions to use ConvLab/t5-small-nlg-user-multiwoz21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/t5-small-nlg-user-multiwoz21 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-nlg-user-multiwoz21") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-nlg-user-multiwoz21") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c7f23b1bb58c26c868671a91ee8da9f696091e444136e99d054baf5273ebd90
- Size of remote file:
- 242 MB
- SHA256:
- 91026b7e65a02195d1ef1004ecd30345f879362529a068049e6b78daa5fc6b98
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