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:
- 803e881dc4d7f03bba4671d95b8bc7d6e7c56df1045aa7586c3a197063ce8a48
- Size of remote file:
- 5.12 kB
- SHA256:
- 9bed1b10b587f718953ff339b6d7dc526bf66e7fbc54d3978d445541e9aedd75
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