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
Download pytorch_model.bin from Kithogue/T5_Question_Generation: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Kithogue/T5_Question_Generation/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Kithogue/T5_Question_Generation@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Kithogue/T5_Question_Generation/resolve/refs%2Fpr%2F1/pytorch_model.bin
892 MB
- Xet hash:
- c6d4808eeeb6bb2d0ced6faab2c2b2468d868905a6c63718d2d1829660810df5
- Size of remote file:
- 892 MB
- SHA256:
- f64213107f3c32b519a242b8f2d2990e38773241ce82f439470b922969e3616e
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