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:
- 432ab54d4e1401d8054d1006ba1309a4a857f8b7b2a5616f670a06b65193338e
- Size of remote file:
- 6.4 MB
- SHA256:
- 591a55ad10ccb0ac75ccca10719e3a31ab1ba1997afb246c2d0f2d2311f34f77
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