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-multiwoz21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/t5-small-nlu-multiwoz21 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-nlu-multiwoz21") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-nlu-multiwoz21") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db8bf9c5d58c7f473e3ee31a20f8bb81531d4f81910fd2fad66cda26cfcbd0d0
- Size of remote file:
- 242 MB
- SHA256:
- 741942e34fa97f2d4d9688b72de43fb3f488556a7ed1c040645ff53327b9f353
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