Instructions to use ibrahimsharaf/AraT5_stage1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibrahimsharaf/AraT5_stage1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ibrahimsharaf/AraT5_stage1") model = AutoModelForSeq2SeqLM.from_pretrained("ibrahimsharaf/AraT5_stage1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ad4f7ed64aca953159dbf72a53f57acac90fe4781eb3bc63991771947d11f7e
- Size of remote file:
- 5.24 kB
- SHA256:
- ede865195abf4ef827807b466f981c5a11ac4a6a0035ffb8199f4577e5d4fa2d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.