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
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# Question and Answer with Italian T5
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This model is a fine-tuned version of [gsarti/it5-base](https://huggingface.co/gsarti/it5-base) on
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To use add a question + context in the same string for example:
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```
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# Question and Answer with Italian T5
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This model is a fine-tuned version of [gsarti/it5-base](https://huggingface.co/gsarti/it5-base) on [Thoroughly Cleaned Italian mC4 Corpus](https://huggingface.co/datasets/gsarti/clean_mc4_it) (~41B words, ~275GB).
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To use add a question + context in the same string for example:
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```
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