Instructions to use PakanunNoa/t5-end2end-questions-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PakanunNoa/t5-end2end-questions-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PakanunNoa/t5-end2end-questions-generation") model = AutoModelForSeq2SeqLM.from_pretrained("PakanunNoa/t5-end2end-questions-generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49faa3feab71ec2ecb11c75ddb761da744d36734c4b8f3a7468120465e3475be
- Size of remote file:
- 892 MB
- SHA256:
- 35fc07d31b1ad135c4cde4b5c299662484d5b74a8a053b22e874710b25f30f72
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.