Instructions to use cunghoctienganh/3069106e-2678-4f2e-af5d-3168d0e321f5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/3069106e-2678-4f2e-af5d-3168d0e321f5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/3069106e-2678-4f2e-af5d-3168d0e321f5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bd2f092eeec244c0448f13e31edd4b25e625568713e4155993a3dea90c7437a
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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