Instructions to use sultan/ArabicT5-xLarge-MonoT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sultan/ArabicT5-xLarge-MonoT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sultan/ArabicT5-xLarge-MonoT5") model = AutoModelForSeq2SeqLM.from_pretrained("sultan/ArabicT5-xLarge-MonoT5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2b068c99b25da3386eafbe4a514a990a6e57441a42fe1ee158464ea2f14dc98
- Size of remote file:
- 2.48 GB
- SHA256:
- 7d83b1607e57a0beddf826099b7bc202607cd0d5ed1821133d2d71d04935c609
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