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
Download training_args.bin from golaxy/ReDI_Interpretation_Sparse: direct link, hf CLI and curl.
- Browser
- Download file 5.75 kB
-
https://huggingface.co/golaxy/ReDI_Interpretation_Sparse/resolve/main/training_args.bin
- Command line
-
hf download hf://golaxy/ReDI_Interpretation_Sparse/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/golaxy/ReDI_Interpretation_Sparse/resolve/main/training_args.bin
5.75 kB
- Xet hash:
- fe05dcaa0be8d32a025c390bc97dc4fa293380eb012614f3ddf1cd98dfa2cb89
- Size of remote file:
- 5.75 kB
- SHA256:
- d0c2331f16b8cdb74d728a7328480d3810e4c52d40a7803ab25c874ac59b6fa2
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