Transformers
PyTorch
Italian
t5
text2text-generation
text2text_generation
question_answering
text-generation-inference
Instructions to use z-uo/it5-squadv1-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use z-uo/it5-squadv1-it with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("z-uo/it5-squadv1-it") model = AutoModelForSeq2SeqLM.from_pretrained("z-uo/it5-squadv1-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01362c080309cb30c977f8921659d7cfd0a53b1eeeb1633d7b2584fdfec40fd9
- Size of remote file:
- 2.99 kB
- SHA256:
- 27427062fea82c900bf392207a9ffd2341e20b264fef7f86768cda41ba705db8
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