Instructions to use iarfmoose/t5-base-question-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iarfmoose/t5-base-question-generator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("iarfmoose/t5-base-question-generator") model = AutoModelForSeq2SeqLM.from_pretrained("iarfmoose/t5-base-question-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
Verified signatureHi there! I just wanted to say that your model is fantastic. We are interested in contributing to update the README to include the base_model information. This is to help address the missing details in the model card.f3e4817
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upload flax model
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allow flax
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Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/iarfmoose/t5-base-question-generator/README.mdda5fac7
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initial commit
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