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:
- a8de3e0170cc435baf74a4ecd60c370c87793bddf55b1b4fbdbc352f55a8d796
- Size of remote file:
- 5.32 MB
- SHA256:
- 9197a884173d9c36c93a016c2f30534c3f05c90874cb72eed644075307e2fce3
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