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:
- 25967c902182bd4ade7eb94a84d35c0e4eab2f342de65a8568e44973f4185b0d
- Size of remote file:
- 4.6 kB
- SHA256:
- ed73ee57056e6e53e9f323b135ace6c4a0b4f7e29df3c6690c9977fa6847b593
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