Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
t5
text2text-generation
italian
sequence-to-sequence
question-generation
squad_it
text-generation-inference
Instructions to use gsarti/it5-large-question-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-large-question-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-large-question-generation") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-large-question-generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c0777152a76d7143d05bc8a4d0325e46892e9893378b894441c63d9bcd481b0
- Size of remote file:
- 3.13 GB
- SHA256:
- 7493584d4e8673014262520d8eaf29bacca3fb104cd2426ae4ca71846123f9b6
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