Instructions to use csujeong/Gemma-7B-Finetuning-JCS-Ko-Ins with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use csujeong/Gemma-7B-Finetuning-JCS-Ko-Ins with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "csujeong/Gemma-7B-Finetuning-JCS-Ko-Ins") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58d5e3d3a2e4ea8de1b0ca0b21b5b1790e18cbe4d0140d2351eb271e7bbff4b2
- Size of remote file:
- 202 MB
- SHA256:
- e13a9ed83d36a01f3cfe6fd70c627b68b4b689361a03dc3a6a0ddc42427b0f60
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