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:
- 69666dd15b1b9b824140137198d7d3d59855f51e80a99474cc23ba1f40a4179a
- Size of remote file:
- 1.12 GB
- SHA256:
- 89cd82ea15fe75736613dff47ec935108aac97520c6feafd3ef6a5ea0a5351ce
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