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:
- e5443b43e1e8771d7f51061c6895d9ac33bb4750c820b4bb2851926df33ad545
- Size of remote file:
- 125 MB
- SHA256:
- 162d259728350c6628469b7392246ccb9fbf8c3a6c7a0cd417a3927c69687bc4
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