Instructions to use ylfeng/sccdec-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ylfeng/sccdec-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LLM4Binary/llm4decompile-6.7b-v1.5") model = PeftModel.from_pretrained(base_model, "ylfeng/sccdec-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from ylfeng/sccdec-lora: direct link, hf CLI and curl.
- Browser
- Download file 320 MB
-
https://huggingface.co/ylfeng/sccdec-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://ylfeng/sccdec-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/ylfeng/sccdec-lora/resolve/main/adapter_model.safetensors
320 MB
- Xet hash:
- 130c7e811bf760c2d4c6c55f7e86cc2df10e83575147b72f79ffbc0cf11a5d82
- Size of remote file:
- 320 MB
- SHA256:
- 5dd9761611155526855123ab71468174cd847f99c9f5c55311f8dd7df226949f
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