Instructions to use ibrahimsharaf/AraT5_stage3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibrahimsharaf/AraT5_stage3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ibrahimsharaf/AraT5_stage3") model = AutoModelForSeq2SeqLM.from_pretrained("ibrahimsharaf/AraT5_stage3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0191ea7009544be796397da0e80af1c21cee500e3323f51cdb75a256f276601b
- Size of remote file:
- 5.24 kB
- SHA256:
- 91a8c887894ecd14653ab2e7c362d3eb806da22c3a87b8d5285e9dacb1eb6af1
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