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:
- 735372918525694faa9d10019311b083e7e93c342b9a8ab35af6dd1ec6ad0c9a
- Size of remote file:
- 4.24 MB
- SHA256:
- 583f2ebd2a1936009b7da991ea255504db68c7a9713a78673d1335a87098966c
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