Instructions to use goodlucky55555/0608523e-dcf1-4feb-a324-e41df6f4eae2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use goodlucky55555/0608523e-dcf1-4feb-a324-e41df6f4eae2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-14B-Chat") model = PeftModel.from_pretrained(base_model, "goodlucky55555/0608523e-dcf1-4feb-a324-e41df6f4eae2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f86889c56baf00162a5ab592219b7afdd55e11895b7ad111d64378cabbe653cf
- Size of remote file:
- 6.78 kB
- SHA256:
- de1bdca7ef17b092ada2b9efceb8f4e753974dfbae7b6051dc0ed82af1b69908
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