Instructions to use somaia02/arabart-gec-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use somaia02/arabart-gec-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("moussaKam/AraBART") model = PeftModel.from_pretrained(base_model, "somaia02/arabart-gec-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99793d8c4b2f56f62fd4d8d3ceb70e2943dc1b613b7f6779641e889d2f808731
- Size of remote file:
- 21.7 kB
- SHA256:
- 6c88208606cc56bfd290ffae1a66345a8d63667df9957ad9300eb23e099a4a13
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