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:
- b0a266ea96a8b021e9af8bb3f113649d3dc7e3dd06513e388d6c3817bf7d50be
- Size of remote file:
- 21.7 kB
- SHA256:
- 8b15878d0078501da1d9bbcc201adbc13f2502d53bc7ffcec18b7192e7f8278a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.