Instructions to use FINAL-Bench/Darwin-2B-Opus-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FINAL-Bench/Darwin-2B-Opus-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-2B") model = PeftModel.from_pretrained(base_model, "FINAL-Bench/Darwin-2B-Opus-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1406ae09e035d8875ec672790c95135e2f9fd678efd8914125f5e0ad5bb69c0
- Size of remote file:
- 5.71 kB
- SHA256:
- 5cd8e3e8984534f1ae6b98051181aa5989c1873e1fe2b634e0029b791eca959c
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