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:
- 5e7fe5620cb1d5ca98928202a12251049e97cb9d0b20037e981e30aec5038fc9
- Size of remote file:
- 12.9 MB
- SHA256:
- d80b36a032b1b39174952db805c8c8707eeb4493929952d63eb2ffb25f8a7cdb
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