Instructions to use date3k2/gemma-2b-it-sft-vi-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use date3k2/gemma-2b-it-sft-vi-alpaca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-1.1-2b-it") model = PeftModel.from_pretrained(base_model, "date3k2/gemma-2b-it-sft-vi-alpaca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ecf315178e3e8f2fa59aaee0e1f4ff39b8d91269fb3b520d521ac6048b25c49
- Size of remote file:
- 157 MB
- SHA256:
- c47f98a6bd87edb24ae0b88355e7da9453f0a3af387f30c3043b8602a1850211
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