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:
- 6db18901ac893ed8df49495fbaee88046daf238759749ccd5c1f517051da21e3
- Size of remote file:
- 988 Bytes
- SHA256:
- 4fb0bd919e48b1871ef9779ddc4b93a423bc1ffe9ec6b4fd5e3705e37dacf353
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