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:
- a58b888f3f752864e7e363c34929f26b509e86ef1b327d5e20f4d0f18c0bb6cf
- Size of remote file:
- 3.13 GB
- SHA256:
- 6b61f228643dce6bc66535180262a3b77d741394b1c8ebe9ce4f0b9e9a683313
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