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:
- b9b80bc63f16c83cad828ae04a9459abf721351306ddd444206e6e84d3abf9b4
- Size of remote file:
- 2.69 MB
- SHA256:
- 755c4fa4a85feebb73484dd985b986a02a7893717e5a4bccae4f306cd6a12ba8
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