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:
- a16f144ff594bac727fdf804f5a933f9877cbf19929948777d24a474864292a6
- Size of remote file:
- 5.32 MB
- SHA256:
- 6a8a809056b973f3df74a8e0401d2f6b3f48855ca88f92c074a282b2fc872456
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