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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d926c0a13786e4ef3e94cf9896b6c4ffc310c439264ad331e66016c5b6d23de1
- Size of remote file:
- 3.18 kB
- SHA256:
- a646a42a43e6a11c8a7a3ca672b0cf8e999346bdec9924c88ff6088473efb0a0
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