Instructions to use Kithogue/T5_Question_Generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kithogue/T5_Question_Generation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Kithogue/T5_Question_Generation") model = AutoModelForSeq2SeqLM.from_pretrained("Kithogue/T5_Question_Generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 164 Bytes
4787357 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | T5-base fine-tuned on SQuAD and CoQA datasets for question generation
language:
- en-us
tags:
- question-generation
license:
- MIT
datasets:
- SQuAD 2.0
- CoQA |