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:
- 6c55a9b561d14abb33287a78139e89dd030147479f105d0b2c2aefc0f20ceb3c
- Size of remote file:
- 157 MB
- SHA256:
- a1172ba164c682a3e0dd729d7a9a22faf4464c66cf306d5567f76f8298446497
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