Instructions to use Aries/T5_question_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aries/T5_question_generation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aries/T5_question_generation") model = AutoModelForSeq2SeqLM.from_pretrained("Aries/T5_question_generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Aries/T5_question_generation: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Aries/T5_question_generation/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Aries/T5_question_generation/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Aries/T5_question_generation/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- 70709a1a1b4a4b0ef9b1a23e01a98b17911fc23e6a460496dfae87a9983cc3a7
- Size of remote file:
- 892 MB
- SHA256:
- 70c679037432e7f808ffb6b2d2bee7754d27f23769d9dd65502c36aedec31566
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