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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cad6e6b12e7855663834aded6b45714c615cd7425727b7ce5e52275e9fd54d3f
- Size of remote file:
- 990 MB
- SHA256:
- befb20cfeecf2f9507ccac39fe16381da87a9ebc601a837d7145634b51041857
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