Instructions to use Rodo-Sami/02adbad2-4bde-450c-985d-d872342a561c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rodo-Sami/02adbad2-4bde-450c-985d-d872342a561c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "Rodo-Sami/02adbad2-4bde-450c-985d-d872342a561c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 121611032e980bd5944dd60d2c12012adba467da552d333a4cbc3d93d3f84fae
- Size of remote file:
- 314 MB
- SHA256:
- d8b346efddef7b332a8c64b55c5890d2aac7400cdc220a679b420ea48896a82f
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