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:
- 4fbc9a696f2d4273c225cfa8337d3a5b402d8278e5aa19e4581d469cee914883
- Size of remote file:
- 2.69 MB
- SHA256:
- a29eeef868ba4fb8b19cff2b0d8fb2c235ffa3225d400395dc841c3140e95deb
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