Instructions to use cunghoctienganh/83592553-fff1-4fa6-9722-79552ed5c0be with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/83592553-fff1-4fa6-9722-79552ed5c0be with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/83592553-fff1-4fa6-9722-79552ed5c0be") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5e77545a87b83a63924cf3e8fc0c9953e3d29dd32c045b0928997d8cedd2ba6
- Size of remote file:
- 17.7 MB
- SHA256:
- ded975ddbe2ea2819a7d748bded58d7c018dc8eb117e172ad45fa3a44bf06160
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