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:
- 54582579cfdffac4d8fd284a6b96e6f3b00f604a33446057dc683b94307f2654
- Size of remote file:
- 120 MB
- SHA256:
- 53bcb1f5ca5c859c04d22728054cccfa8e02c7e30e3afc2826fb3bbb0316b3e8
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