Instructions to use kaping/gemma_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kaping/gemma_adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-9b-it-bnb-4bit") model = PeftModel.from_pretrained(base_model, "kaping/gemma_adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 529c8cbcaad5e994e27f136f6e126a595d0f19093bfd87b02f6b0cf48ed86698
- Size of remote file:
- 17.5 MB
- SHA256:
- e75fde5b97c844757d043608f6ffa2067c427372a01adcaddb549f5e56ab436e
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