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:
- a6f72e31f59b5e5ddf63dd5bef6b27caf5fd4e07eba168026630e0ad811926d8
- Size of remote file:
- 2.69 MB
- SHA256:
- 4051c707e9d67cfe29ad210c13fe89896f2c3fc7cf4353ff0fb5017475ff87c2
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