Instructions to use CJHauser/qna-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CJHauser/qna-t5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CJHauser/qna-t5") model = AutoModelForSeq2SeqLM.from_pretrained("CJHauser/qna-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signaturec0d42c7 -
Training in progress, epoch 5
Verified signature6754e1f -
Training in progress, epoch 4
Verified signaturef6c1129 -
Training in progress, epoch 3
Verified signature2a6d7c8 -
Training in progress, epoch 2
Verified signaturef102a17 -
Training in progress, epoch 1
Verified signatureb91aa99 -
initial commit
Verified signaturec6ac580