Instructions to use tarabukinivan/00224bc3-b246-4dd6-8708-8ae058866dbb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/00224bc3-b246-4dd6-8708-8ae058866dbb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "tarabukinivan/00224bc3-b246-4dd6-8708-8ae058866dbb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68ecd855309925d822eeca03acd62436f535ea0060ec444172c83aa72c35d4e4
- Size of remote file:
- 6.78 kB
- SHA256:
- 19dae0bd2b9c40afcc704a7bb99eb078b5d311b127fbb556052a3bbdf8e7de07
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