Instructions to use souging/705c4745-e35b-4adc-b374-39aae4f1599f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/705c4745-e35b-4adc-b374-39aae4f1599f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "souging/705c4745-e35b-4adc-b374-39aae4f1599f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a17b894e97117d76e72d26bbd3fb978790e39df74088601c557d676dad1b8b6
- Size of remote file:
- 242 MB
- SHA256:
- 6049e0023f81983096ded53c3690a9f841626f514afb8fc96fddf86fd64af606
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