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:
- 0e8fa872d4f9f47a83c37cfe0832d5ed9d6e5194742d54b679df9ea281fef78c
- Size of remote file:
- 988 Bytes
- SHA256:
- 8034dcb9b17f8dbc5fc3d45ee64d1519a5453505777e6b99d18ec4870f4055ed
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