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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c864510c773b83a1fc7bc7d6b5008e0e7e86ce5e0c8f173c185117fb0252aaa5
- Size of remote file:
- 3.13 GB
- SHA256:
- 9d6baf0d868db9128bfa387cc6d8c190c039bd0a35d8e2f9d9c1500574be042e
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