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:
- 8d5491e4d7852d7ddfe5286dea73680116b19ca990d1f5a06fc100f1589180e2
- Size of remote file:
- 135 MB
- SHA256:
- e384531a422408a3c8a23884d969c0e7b79b3f7b28b61deee0cca3887f0f4c3c
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