Instructions to use golaxy/ReDI_Decomposition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use golaxy/ReDI_Decomposition with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/root/paddlejob/workspace/env_run/output/llm/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "golaxy/ReDI_Decomposition") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82c2ce570d51f15abd6933db12a28ff32ca84e5d6af88573849b37a667831e03
- Size of remote file:
- 11.4 MB
- SHA256:
- 6f10755b54f711346fad6b550b761027777ad1f1ed4f69fff952825e0c610f6f
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