Instructions to use kaejo98/bart-base-question-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaejo98/bart-base-question-generation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kaejo98/bart-base-question-generation") model = AutoModelForSeq2SeqLM.from_pretrained("kaejo98/bart-base-question-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kaejo98/bart-base-question-generation: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/kaejo98/bart-base-question-generation/resolve/main/training_args.bin
- Command line
-
hf download hf://kaejo98/bart-base-question-generation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kaejo98/bart-base-question-generation/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- a55abc6fdfbe42740d373044ef3626788b1d3bbab44b052b8b43aa0adbf198d9
- Size of remote file:
- 3.45 kB
- SHA256:
- 8de2ea5985e1bfdb668a0eaeb04974aa225f73395d3abd255d1b3251ddb3d405
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