Instructions to use lhong4759/3c4ea938-aa74-4d15-a058-76a19d0d7b0f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lhong4759/3c4ea938-aa74-4d15-a058-76a19d0d7b0f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "lhong4759/3c4ea938-aa74-4d15-a058-76a19d0d7b0f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 752a51a94b36c436546811462dd8dfb4a5f644b43dbb91b943fbc0a0d18221b2
- Size of remote file:
- 80.9 MB
- SHA256:
- 2e59c745f4d88d2a127abb9247dc307bf6a56ce90a70f8e28e22b2b1dcf29b81
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