Instructions to use shibu-phys/arise-japanese-guardrail-gemma2b-lora-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibu-phys/arise-japanese-guardrail-gemma2b-lora-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-jpn-it") model = PeftModel.from_pretrained(base_model, "shibu-phys/arise-japanese-guardrail-gemma2b-lora-adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51ee71b55506370d5c0e69b24e8d297fb1926d0a5cec29c933375cdc55883bdd
- Size of remote file:
- 166 MB
- SHA256:
- 846799d1fa318944bced3b3313b86a866c7ba113f453562ef7a913df6f7f381b
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