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:
- 1ac9a3ce5189d855d106fe5e2199c6e218bedd4f1e5278f87490b463cb964254
- Size of remote file:
- 34.4 MB
- SHA256:
- afe09ee4dcd6379dfa9f12c0178f86eab033fc9f97f4e1d605a44da3488b6c53
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