Transformers
PyTorch
Arabic
t5
Arabic T5
MSA
Twitter
Arabic Dialect
Arabic Machine Translation
Arabic Text Summarization
Arabic News Title and Question Generation
Arabic Paraphrasing and Transliteration
Arabic Code-Switched Translation
text-generation-inference
Instructions to use UBC-NLP/AraT5v2-base-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UBC-NLP/AraT5v2-base-1024 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UBC-NLP/AraT5v2-base-1024", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md 7b240e6 verified
Update README.md 8f1fa54 verified
Update tokenizer_config.json c2e231c
Update config.json d23d48d
Update config.json 7404452
Update config.json 6961805
Update README.md 92ae917
Update README.md 0321262
Update README.md a493377
Update README.md d4f87e1
Update README.md 867df89
Update README.md 5379c24
Update README.md 7b9eb95
Update README.md 5e127ab
Update README.md 6c7050f
Update README.md 7da73b8
Update from elmadany e544201
elmadany commited on