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:
- 11b793c80bb3522bedf44d50273ecb7eb37bedcc055ade96d8ba2880c0fffbfe
- Size of remote file:
- 6.78 kB
- SHA256:
- 9914c0c99c65ff0123fd9dc857450c7c29fc085ff61119e3fd83a0adc517f7b2
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