Instructions to use Zineddinetranslate/gemma-finetuned-arabic2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Zineddinetranslate/gemma-finetuned-arabic2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ModelSpace/GemmaX2-28-2B-v0.1") model = PeftModel.from_pretrained(base_model, "Zineddinetranslate/gemma-finetuned-arabic2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3763c001f9eab5f1f0304149b1d25f335b55eb2f848213909ee7c09369c8cc16
- Size of remote file:
- 1.06 kB
- SHA256:
- 17adb294b3f8906db57186475801763fe9be72f30360d16f2fcb79d24542560a
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