Instructions to use fahad1995/syrian-gemma-12b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fahad1995/syrian-gemma-12b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-12b-it") model = PeftModel.from_pretrained(base_model, "fahad1995/syrian-gemma-12b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bebf2c67f51b885f327b163d222485f17e067812653acc40d058d3875ec12359
- Size of remote file:
- 5.08 GB
- SHA256:
- 8c9ded269f9e5cd4b7b312af2826c5c1fa5675415160c8b99ec23a1ffc48e570
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