Instructions to use Aries/T5_question_answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aries/T5_question_answering with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aries/T5_question_answering") model = AutoModelForSeq2SeqLM.from_pretrained("Aries/T5_question_answering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d09f6c43e1c601a5a81e379f6c0bfd5232c6e6dc0395a78da3d7f11ae9d24e0f
- Size of remote file:
- 892 MB
- SHA256:
- 27ca317249328fd0f721b1e9c8c8f8d9bd65c7e1adc31e0892ce05c6777aee9c
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