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:
- 5c39ec3fd097024d47348d3017985041b98d8e2437a56b984f459153949eaf6a
- Size of remote file:
- 10.7 MB
- SHA256:
- c03e500ed8e4953132e62be3704d6bfdca68f7a406db1b6ee83e2921feef9003
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