Instructions to use cunghoctienganh/511a97ce-f0af-4873-84ee-04b5430dbd56 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/511a97ce-f0af-4873-84ee-04b5430dbd56 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/511a97ce-f0af-4873-84ee-04b5430dbd56") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd58459461913492f7edcbdd172c7dbaeae5735147851191a8060b5e617b44d1
- Size of remote file:
- 17.7 MB
- SHA256:
- bb2aa39805168155cd3716ed3dda49c1d36f6600357cfbcf8e557b3557f76f7c
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