Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
t5
text2text-generation
italian
sequence-to-sequence
squad_it
text2text-question-answering
Eval Results (legacy)
text-generation-inference
Instructions to use gsarti/it5-large-question-answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-large-question-answering with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-large-question-answering") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-large-question-answering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5edc994ea6cc8afc2ebfde05962e53dbdff8df6951ef5d97c917290ca30eb689
- Size of remote file:
- 3.13 GB
- SHA256:
- fbe186fbef6eff4284268281e74139f90c8545831088ff9c5cee8448611046fd
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