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:
- 2c3a2fc471d07e4b943eaf9dbe364324f45c06b9d4dc98c06f185f97e0e4a003
- Size of remote file:
- 4.6 kB
- SHA256:
- c82f8daa53495bfef11faca7a8d954f8023465412fa138e9c80f9e8382c966a8
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