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
Commit History
-
Create README.md
Atsumoto OhashiVerified signature5f80509 -
Upload T5ForConditionalGeneration
Atsumoto OhashiVerified signaturecc859dd -
Upload tokenizer
Atsumoto OhashiVerified signaturebab06c0 -
Upload config
Atsumoto OhashiVerified signatureda83812 -
initial commit
Atsumoto OhashiVerified signature838fc01