Transformers
PyTorch
English
t5
text2text-generation
t5-small
natural language understanding
conversational system
task-oriented dialog
Eval Results (legacy)
text-generation-inference
Instructions to use ConvLab/t5-small-nlu-all-multiwoz21-context3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/t5-small-nlu-all-multiwoz21-context3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-nlu-all-multiwoz21-context3") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-nlu-all-multiwoz21-context3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53525d3fd87123a0e688ccfd07609e24e77abcc2aa84e2f11bcf7b87f3d07abe
- Size of remote file:
- 242 MB
- SHA256:
- b70644dee6a9f9cadd96e481dc8edb4e29f788aa623a84721b9286c51e3d5365
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