Instructions to use souging/029f10e5-2608-4fa0-b8bb-cbdc2ba54829 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/029f10e5-2608-4fa0-b8bb-cbdc2ba54829 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B") model = PeftModel.from_pretrained(base_model, "souging/029f10e5-2608-4fa0-b8bb-cbdc2ba54829") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 566b39ad2b78c324b5e9c60925206fea0eed810e675b351a901a85bac279c2d8
- Size of remote file:
- 148 MB
- SHA256:
- a166626b3800d7e84cbfda0ffe651b7f2ef1172fe4de5169e46b594fe865e416
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