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-base-question-answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-base-question-answering with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-base-question-answering") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-base-question-answering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a6057d749d62362f198c15543f315c1316f2d3a03b527f8a3d72a2f441a8b00
- Size of remote file:
- 990 MB
- SHA256:
- 1caf4487e0526c0059009b1c6b521d7f11a18e6a095422bcd0c2cc5e527fa8f4
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