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:
- 20aad30d28fc3f0c8fb813690f35b96c6eb18bb666a5e7869bd0d03cb868f9c8
- Size of remote file:
- 2.69 MB
- SHA256:
- ded97b9e30d309fc0cdf95fb2edf3c43f0460da3f87a0ffa247f5c18bc39bb1a
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