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:
- 8a009376e8b344dd07a2953f7481c76fda1899f4a0f455bc6274f7294f4af932
- Size of remote file:
- 21.7 kB
- SHA256:
- 41c5681d7b524818ae5579d838cfcbe25ce71cbb169b0e4fe25d42c99edbaa8f
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