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:
- f7d9378814bfc04dbc3612a616c767ec7a2c5ac9415d4fb0d86062f2e3ae02f0
- Size of remote file:
- 2.69 MB
- SHA256:
- 6946108925cdf33a8f3bb7bf0269e13df4b526094fdcd3734ed133e0d4922296
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