Instructions to use dplus02/google-gemma-2b-1727234444 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dplus02/google-gemma-2b-1727234444 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "dplus02/google-gemma-2b-1727234444") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88c52d4f7d0ec7b7b06e7993b1aaa515100182bf54bc022eba825b0809289917
- Size of remote file:
- 5.37 kB
- SHA256:
- 9e3c906bb8c9ce639371174794452cc39d79d4ce3a2733e4470f829a01198a54
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