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
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pipeline_tag: text-generation
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# Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
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base_model:
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library_name: peft
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# Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
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