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 pytorch_model.bin from kaejo98/bart-base-question-generation: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/kaejo98/bart-base-question-generation/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kaejo98/bart-base-question-generation/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kaejo98/bart-base-question-generation/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 847f9309ffdd337fa8a45c8eb2957175842877e67e0c39a35e877695e0bd63d9
- Size of remote file:
- 558 MB
- SHA256:
- a3c28b01309309902ad1fa1ad53271dc872cd2ca54465d7f214b09aa63227568
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