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:
- 5b9481d31c360e740e524a7554aee40f5e5e7d698fcc6745023f16218db487ef
- Size of remote file:
- 5.32 MB
- SHA256:
- 6d5523b247f7b13c0b8050366732eda9261579a506398d6de39341316a1ec0b1
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