Instructions to use souging/2d9bf114-ac9c-4d53-abb0-4e6580c57168 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/2d9bf114-ac9c-4d53-abb0-4e6580c57168 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "souging/2d9bf114-ac9c-4d53-abb0-4e6580c57168") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fffa86b22e87b7e06caba8260a7e4413e7b8163737593ada324c416c55ccfeb1
- Size of remote file:
- 180 MB
- SHA256:
- 39a2d770330a7c4e4ebaca9480905dab09adb53b1d43f2736a65b9102b2e8770
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.