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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from nu-dialogue/t5-base-jmultiwoz-e2e: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/nu-dialogue/t5-base-jmultiwoz-e2e/resolve/main/spiece.model
- Command line
-
hf download hf://nu-dialogue/t5-base-jmultiwoz-e2e/spiece.model
-
curl -L -o spiece.model https://huggingface.co/nu-dialogue/t5-base-jmultiwoz-e2e/resolve/main/spiece.model
798 kB
- Xet hash:
- 056ddb07ec315429be937745cb3cf60fa64ad278299eb51e3c3a31c3ef284f9e
- Size of remote file:
- 798 kB
- SHA256:
- 1718aa5c66cfddbd44ea913eec5a460db9ae0cacae167c6543996986c32a192b
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