Instructions to use NamYeongCho/gemma2-9b-CultureBank-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NamYeongCho/gemma2-9b-CultureBank-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b-it") model = PeftModel.from_pretrained(base_model, "NamYeongCho/gemma2-9b-CultureBank-v1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from NamYeongCho/gemma2-9b-CultureBank-v1: direct link, hf CLI and curl.
- Browser
- Download file 432 MB
-
https://huggingface.co/NamYeongCho/gemma2-9b-CultureBank-v1/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://NamYeongCho/gemma2-9b-CultureBank-v1/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/NamYeongCho/gemma2-9b-CultureBank-v1/resolve/main/adapter_model.safetensors
432 MB
- Xet hash:
- 908efdc510f6f28f70787c97f9deec53b00e54a6a6f18d6e26e72ded0d268ae3
- Size of remote file:
- 432 MB
- SHA256:
- 56ff8a62089e73c09c953d3d258a436936c48735d0c3f2ecc8de235b1908b5a3
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