Instructions to use CocoRoF/POLAR-g-eCe-train-args with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CocoRoF/POLAR-g-eCe-train-args with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "CocoRoF/POLAR-g-eCe-train-args") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6117d466ea2a5bd710056b1c90df44199a20c83f42e52b2be1e1b7bdaa6b3ee6
- Size of remote file:
- 5.71 GB
- SHA256:
- 93c0b35bb2f4d35f6fa6698722098abcee6d9402322bd3ffd2f6d2ffdf2c8a3a
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