Instructions to use FMZGL/Gemma2-9b-cv93 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FMZGL/Gemma2-9b-cv93 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("/root/autodl-tmp/model/gemma2-9b-it-bf16") model = PeftModel.from_pretrained(base_model, "FMZGL/Gemma2-9b-cv93") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4515bbcc8439afff09d0dec377cfba928db10af3edd329176a71b2cf65d5b687
- Size of remote file:
- 5.33 kB
- SHA256:
- 9820150bbeb30978283de2d67eb8464659163dc0617a9e87534eb67bd2dd98f1
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