Instructions to use InnovativeEngineers/Energy-Intelligence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use InnovativeEngineers/Energy-Intelligence with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "InnovativeEngineers/Energy-Intelligence") - Notebooks
- Google Colab
- Kaggle
readme
Browse files
README.md
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🔗 https://github.com/Savaliya03/Architecting-an-Energy-Intelligence-LLM-via-PEFT-Optimization
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This repository provides implementation details of the model architecture, showcasing how Parameter Efficient Fine-Tuning (PEFT) techniques are used to reduce computational cost while maintaining high performance.
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🔗 https://github.com/Savaliya03/Architecting-an-Energy-Intelligence-LLM-via-PEFT-Optimization
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This repository provides implementation details of the model architecture, showcasing how Parameter Efficient Fine-Tuning (PEFT) techniques are used to reduce computational cost while maintaining high performance.
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