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:
- e52b17f9d910a5b685f92c225f3748b95c060c568f7d7fe95b90e452d866ddb1
- Size of remote file:
- 1.06 kB
- SHA256:
- bf79ba88210639e0b725ee3ca8af70f266780a8aabbf9d25faf56fd6dd10d11b
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