Instructions to use nu-dialogue/t5-base-jmultiwoz-e2e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nu-dialogue/t5-base-jmultiwoz-e2e with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nu-dialogue/t5-base-jmultiwoz-e2e") model = AutoModelForSeq2SeqLM.from_pretrained("nu-dialogue/t5-base-jmultiwoz-e2e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd893e0f0913758651ecb65635c9be30ba8254bee22973a3804768afbadc3744
- Size of remote file:
- 990 MB
- SHA256:
- 438635af6b2d4637819b27d46aa2ebeabf912e2c7075f939546864012b6de84f
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