Instructions to use dada22231/0bbbd782-1dff-4ee1-ab35-6143ea1eeac0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/0bbbd782-1dff-4ee1-ab35-6143ea1eeac0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "dada22231/0bbbd782-1dff-4ee1-ab35-6143ea1eeac0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f4d797de77e4a18c35c38ff0f856f5e9dd3785746e6c49bfa06c68ce183452d
- Size of remote file:
- 6.84 kB
- SHA256:
- 9e787923246bc6b3466e78a5c2abf53d841abe88586cbd1cbef6dec433b0f816
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