Transformers
PyTorch
Italian
t5
text2text-generation
text2text_generation
question_answering
text-generation-inference
Instructions to use bullmount/quanIta_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bullmount/quanIta_t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bullmount/quanIta_t5") model = AutoModelForSeq2SeqLM.from_pretrained("bullmount/quanIta_t5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32cb301057df4ddd1b864c3e2a49dc600257747ad8ba3324c5678bc7c426eed8
- Size of remote file:
- 990 MB
- SHA256:
- 845f4527381cc5ac7c25e72af2a57905a8920cd81b681fe7be09df3034af7c00
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