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-small-question-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-small-question-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-small-question-generation") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-small-question-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6def0172f6c4b8124d06d5ed8d80e32e3cdc68584c516338c4f36b163174fd04
- Size of remote file:
- 308 MB
- SHA256:
- 0d4e4c4590a3c55d5e8b67845653081f71b1e8fc0c8808982e47b34d960a8b49
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