Instructions to use prxy5608/84e3f9b9-7c10-4820-aa55-3fadc4ef2d79 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/84e3f9b9-7c10-4820-aa55-3fadc4ef2d79 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, "prxy5608/84e3f9b9-7c10-4820-aa55-3fadc4ef2d79") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 024d680978b1f7e6da475efb20e31e1922ae99af83f6cfa3df07c07655588cf8
- Size of remote file:
- 14.2 kB
- SHA256:
- 9c2e8c0866dcc539e99b91dfc9f3217c46f6b09ef10fc3f90db4f22eda770442
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