Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
t5
text2text-generation
Italian
efficient
sequence-to-sequence
question-generation
squad_it
Eval Results (legacy)
text-generation-inference
Instructions to use gsarti/it5-efficient-small-el32-question-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-efficient-small-el32-question-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-efficient-small-el32-question-generation") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-efficient-small-el32-question-generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78e6bfc074a085e16e531f77b2efc013ca577d883f0a3a0362498235289e0634
- Size of remote file:
- 569 MB
- SHA256:
- 03a0d79302924998f7960b4871ab8efc1b703fd7ff0ae1012e6a208c62247b61
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