Instructions to use krlng/t5-question-generation-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krlng/t5-question-generation-de with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("krlng/t5-question-generation-de") model = AutoModelForSeq2SeqLM.from_pretrained("krlng/t5-question-generation-de") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc62af74aa6fc5cba483398813d87e8567c342cffb5f4a15ab909772d4f4418d
- Size of remote file:
- 892 MB
- SHA256:
- 9ef429e81036ed409261cc3900c3b0929a5f835158b96b8e45103273ecdb0516
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