Instructions to use jgayed/gemmalorafull with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jgayed/gemmalorafull with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "jgayed/gemmalorafull") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 035056eb0db54ea6eb798ffd86e75a8f9d9d8d4cab80f79cbcf12a8109fc9a03
- Size of remote file:
- 5.69 kB
- SHA256:
- 01cf6a1b3597e72bc7b90c88ce73fa75eed9ace24c5f542bd93a792085dd5c9c
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