Instructions to use prxy5604/7de6180a-0ec6-41d9-9b27-bb18c6b240c3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5604/7de6180a-0ec6-41d9-9b27-bb18c6b240c3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "prxy5604/7de6180a-0ec6-41d9-9b27-bb18c6b240c3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50cb64e29510d7a1f14860dd4f34fa5a322f046930ccaccef19c52d840c657e3
- Size of remote file:
- 6.84 kB
- SHA256:
- f96f5660f428783c7ff00bf624b5d6201781bdd39134903b8aa048dca7a30e33
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