Instructions to use golaxy/ReDI_Interpretation_Sparse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use golaxy/ReDI_Interpretation_Sparse 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_Interpretation_Sparse") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c18972f42cc84e40c62b7dd2f31f7b67759f2cec74b9ee0f131999e7fa0923d
- Size of remote file:
- 175 MB
- SHA256:
- 37709a03bb0684e94bae563749d6ff7d334a71a10e0e9a9ecaf624f24852ab5f
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