Instructions to use kaejo98/t5_base_question_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaejo98/t5_base_question_generation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kaejo98/t5_base_question_generation") model = AutoModelForSeq2SeqLM.from_pretrained("kaejo98/t5_base_question_generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kaejo98/t5_base_question_generation: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/kaejo98/t5_base_question_generation/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kaejo98/t5_base_question_generation/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kaejo98/t5_base_question_generation/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 3ac0a7d3442774f4ff29ec8ffeb2f8fad85702b0e727af0689965b44f13bcde5
- Size of remote file:
- 892 MB
- SHA256:
- 9010166046ece155c3204d70644abd95fbd69cc92c4d6f0896a2b3863e4d56cb
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