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:
- 0778008e24b15998bf0d1779ec7f9d517038d8f408195de886a8dca114f7b580
- Size of remote file:
- 5.12 kB
- SHA256:
- 6b35d1e2c747c60ddf1b0e316315ba1fc8c3b74737ffa7c30032956d3decbf9b
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