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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("nu-dialogue/t5-base-jmultiwoz-e2e") model = AutoModelForMultimodalLM.from_pretrained("nu-dialogue/t5-base-jmultiwoz-e2e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 056ddb07ec315429be937745cb3cf60fa64ad278299eb51e3c3a31c3ef284f9e
- Size of remote file:
- 798 kB
- SHA256:
- 1718aa5c66cfddbd44ea913eec5a460db9ae0cacae167c6543996986c32a192b
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