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:
# 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") - Notebooks
- Google Colab
- Kaggle
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README.md
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- lr_scheduler_warmup_ratio: 0.25
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- num_epochs: 5
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At the end of 5 epochs, the Evaluation loss was: 1.
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### Framework versions
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- lr_scheduler_warmup_ratio: 0.25
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- num_epochs: 5
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At the end of 5 epochs, the Evaluation loss was: 1.64 and the training loss was: 0.9671.
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### Framework versions
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