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:
- 139cb59e905484406ec79972ef2063d0212c550a9e494859e56ee49d60686d91
- Size of remote file:
- 1.06 kB
- SHA256:
- e75ee1510b91b7ac6e02fe6fc4b04b0785775bdcf405691d8023c17656cc4270
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.