Instructions to use Hyeoni/t5-e2e-questions-generation-KorQuAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hyeoni/t5-e2e-questions-generation-KorQuAD with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hyeoni/t5-e2e-questions-generation-KorQuAD") model = AutoModelForSeq2SeqLM.from_pretrained("Hyeoni/t5-e2e-questions-generation-KorQuAD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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- generated_from_trainer
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datasets:
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- squad_modified_for_t5_qg
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model-index:
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- name: t5-end2end-questions-generation
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results: []
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- generated_from_trainer
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datasets:
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- squad_modified_for_t5_qg
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base_model: digit82/kolang-t5-base
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model-index:
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- name: t5-end2end-questions-generation
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results: []
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