Instructions to use dimasik1987/adb7b1c7-e2eb-441d-b63f-6e14a444b7bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik1987/adb7b1c7-e2eb-441d-b63f-6e14a444b7bb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "dimasik1987/adb7b1c7-e2eb-441d-b63f-6e14a444b7bb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 068c699b43f1f037eb4d120baa519b9efdf94d899caabc99fe442bc867d787a0
- Size of remote file:
- 6.84 kB
- SHA256:
- c825314fafd616298328a277ef6baf0c73ad98aca6c60fa51ed51966dcf4e980
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