Instructions to use Sehong/t5-large-QuestionGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sehong/t5-large-QuestionGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sehong/t5-large-QuestionGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("Sehong/t5-large-QuestionGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10d3d6bba661b58fdb3df5e096cbc1815fee0e989ed4139e97020856f7ac7a44
- Size of remote file:
- 2.95 GB
- SHA256:
- c02783420e9d0d2a1e594d748f47ba76263236b94ab23be27dbbb7f53fc2d4ec
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